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 79a8cf97..101a3b06 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 @@ -448,47 +448,47 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// - /// - /// Configures the input to the batch request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// 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}`. + /// + /// Configures the input to the batch request. /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// + /// + /// Stats about the batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? model = default, string? displayName = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? priority = default, - string? model = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - InputConfig = inputConfig, + Model = model, DisplayName = displayName, - BatchStats = batchStats, Priority = priority, - Model = model, + InputConfig = inputConfig, Output = output, + BatchStats = batchStats, }; return await BatchesUpdateEmbedContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 4fe94a48..0f83f65e 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 @@ -448,23 +448,23 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Configures the input to the batch request. /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// 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}`. /// - /// - /// Configures the input to the batch request. + /// + /// 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 @@ -472,23 +472,23 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, - string? displayName = default, - global::Google.Gemini.BatchStats? batchStats = default, string? priority = default, global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, + global::Google.Gemini.BatchStats? batchStats = default, + string? model = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - Model = model, - Output = output, - DisplayName = displayName, - BatchStats = batchStats, Priority = priority, InputConfig = inputConfig, + Output = output, + BatchStats = batchStats, + Model = model, + 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 25a0ea5e..1e22ccca 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 @@ -425,14 +425,17 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The content to cache. + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response @@ -440,45 +443,42 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// /// /// 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. - /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? ttl = default, + string? expireTime = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, global::System.Collections.Generic.IList? tools = default, string? displayName = default, + global::System.Collections.Generic.IList? contents = default, string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? expireTime = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - Ttl = ttl, + ExpireTime = expireTime, SystemInstruction = systemInstruction, - Contents = contents, + UsageMetadata = usageMetadata, + Ttl = ttl, Tools = tools, DisplayName = displayName, + Contents = contents, Model = model, ToolConfig = toolConfig, - UsageMetadata = usageMetadata, - ExpireTime = expireTime, }; 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 a4f58b59..846c5f8d 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 @@ -448,14 +448,17 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The content to cache. + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response @@ -463,47 +466,44 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// /// /// 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. - /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// 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 CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? ttl = default, + string? expireTime = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, global::System.Collections.Generic.IList? tools = default, string? displayName = default, + global::System.Collections.Generic.IList? contents = default, string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? expireTime = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - Ttl = ttl, + ExpireTime = expireTime, SystemInstruction = systemInstruction, - Contents = contents, + UsageMetadata = usageMetadata, + Ttl = ttl, Tools = tools, DisplayName = displayName, + Contents = contents, Model = model, ToolConfig = toolConfig, - UsageMetadata = usageMetadata, - ExpireTime = expireTime, }; 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..fe472747 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 @@ -435,31 +435,31 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, + EmailAddress = emailAddress, }; return await CorporaPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs index 5b7d23da..1d67f6ca 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 @@ -458,14 +458,14 @@ 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. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -474,17 +474,17 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string permissionsId, string corporaId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, + EmailAddress = emailAddress, }; return await CorporaPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs index 34671367..2893435a 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 @@ -435,66 +435,66 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, Contents = contents, + ToolConfig = toolConfig, + Model = model, + ServiceTier = serviceTier, Tools = tools, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - SafetySettings = safetySettings, + GenerationConfig = generationConfig, Store = store, - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Model = model, + SafetySettings = safetySettings, + 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 c122bf13..10adbfa2 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 @@ -435,66 +435,66 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, Contents = contents, + ToolConfig = toolConfig, + Model = model, + ServiceTier = serviceTier, Tools = tools, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - SafetySettings = safetySettings, + GenerationConfig = generationConfig, Store = store, - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Model = model, + SafetySettings = safetySettings, + 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 2dd678ac..002feb31 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 @@ -376,66 +376,66 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 { - GenerationConfig = generationConfig, Contents = contents, + ToolConfig = toolConfig, + Model = model, + ServiceTier = serviceTier, Tools = tools, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - SafetySettings = safetySettings, + GenerationConfig = generationConfig, Store = store, - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Model = model, + SafetySettings = safetySettings, + 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.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index ecbb3a1f..6eebaf77 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -435,12 +435,12 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Custom metadata to be associated with the file. - /// /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// + /// + /// Custom metadata to be associated with the file. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -449,16 +449,16 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, string? fileName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.ImportFileRequest { - CustomMetadata = customMetadata, FileName = fileName, + CustomMetadata = customMetadata, ChunkingConfig = chunkingConfig, }; 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 b209f1ab..aa48054a 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. /// /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - /// - /// Custom metadata to be associated with the data. + /// + /// Optional. Display name of the created document. /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// - /// - /// Optional. Display name of the created document. + /// + /// Custom metadata to be associated with the data. + /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - global::System.Collections.Generic.IList? customMetadata = default, - string? mimeType = default, string? displayName = default, + string? mimeType = default, + global::System.Collections.Generic.IList? customMetadata = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { - ChunkingConfig = chunkingConfig, - CustomMetadata = customMetadata, - MimeType = mimeType, DisplayName = displayName, + MimeType = mimeType, + CustomMetadata = customMetadata, + 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..0c05e1f5 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). /// /// + /// + /// Configurations for the EmbedContent request. + /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configurations for the EmbedContent 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 ModelsEmbedContentAsync( string modelsId, + global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, string? model = default, global::Google.Gemini.Content? content = default, - global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { + EmbedContentConfig = embedContentConfig, Model = model, Content = content, - EmbedContentConfig = embedContentConfig, }; 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 c23f62e4..95eb7fc9 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 @@ -435,66 +435,66 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, Contents = contents, + ToolConfig = toolConfig, + Model = model, + ServiceTier = serviceTier, Tools = tools, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - SafetySettings = safetySettings, + GenerationConfig = generationConfig, Store = store, - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Model = model, + SafetySettings = safetySettings, + 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 aea42ab3..9ca73455 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 @@ -435,66 +435,66 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, Contents = contents, + ToolConfig = toolConfig, + Model = model, + ServiceTier = serviceTier, Tools = tools, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - SafetySettings = safetySettings, + GenerationConfig = generationConfig, Store = store, - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Model = model, + SafetySettings = safetySettings, + 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 666acc66..35867c74 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 @@ -376,66 +376,66 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 { - GenerationConfig = generationConfig, Contents = contents, + ToolConfig = toolConfig, + Model = model, + ServiceTier = serviceTier, Tools = tools, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - SafetySettings = safetySettings, + GenerationConfig = generationConfig, Store = store, - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Model = model, + SafetySettings = safetySettings, + 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 0a769cb5..2838e796 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 @@ -438,61 +438,61 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. 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. List of project numbers that have read access to the tuned model. /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuning tasks that create tuned models. - /// /// /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? topP = default, + string? baseModel = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, float? temperature = default, string? displayName = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? baseModel = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? description = default, + float? topP = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, + BaseModel = baseModel, + ReaderProjectNumbers = readerProjectNumbers, TunedModelSource = tunedModelSource, - TopK = topK, - TuningTask = tuningTask, Temperature = temperature, DisplayName = displayName, - ReaderProjectNumbers = readerProjectNumbers, - BaseModel = baseModel, + TopK = topK, + TuningTask = tuningTask, Description = description, + TopP = topP, }; 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 3a3359f9..9ffc8df5 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 @@ -435,66 +435,66 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, Contents = contents, + ToolConfig = toolConfig, + Model = model, + ServiceTier = serviceTier, Tools = tools, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - SafetySettings = safetySettings, + GenerationConfig = generationConfig, Store = store, - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Model = model, + SafetySettings = safetySettings, + 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 772f3f05..61437979 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 @@ -448,62 +448,62 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuning tasks that create tuned models. - /// /// /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// 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, - float? topP = default, + string? baseModel = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, float? temperature = default, string? displayName = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? baseModel = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? description = default, + float? topP = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, + BaseModel = baseModel, + ReaderProjectNumbers = readerProjectNumbers, TunedModelSource = tunedModelSource, - TopK = topK, - TuningTask = tuningTask, Temperature = temperature, DisplayName = displayName, - ReaderProjectNumbers = readerProjectNumbers, - BaseModel = baseModel, + TopK = topK, + TuningTask = tuningTask, Description = description, + TopP = topP, }; 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..afe70489 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 @@ -435,31 +435,31 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, + EmailAddress = emailAddress, }; return await TunedModelsPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs index 36931011..6e969712 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 @@ -458,14 +458,14 @@ 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. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -474,17 +474,17 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string tunedModelsId, string permissionsId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, + EmailAddress = emailAddress, }; return await TunedModelsPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs index d2f7d8b4..4f2ef7b5 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 @@ -435,66 +435,66 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? cachedContent = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, Contents = contents, + ToolConfig = toolConfig, + Model = model, + ServiceTier = serviceTier, Tools = tools, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - SafetySettings = safetySettings, + GenerationConfig = generationConfig, Store = store, - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Model = model, + SafetySettings = safetySettings, + 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 61b75e84..19bca124 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 @@ -376,66 +376,66 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 { - GenerationConfig = generationConfig, Contents = contents, + ToolConfig = toolConfig, + Model = model, + ServiceTier = serviceTier, Tools = tools, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - SafetySettings = safetySettings, + GenerationConfig = generationConfig, Store = store, - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Model = model, + SafetySettings = safetySettings, + 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 8b5259c1..d7c368ac 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -41,36 +41,36 @@ public partial interface IGeminiClient /// /// /// - /// - /// Configures the input to the batch request. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// 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}`. + /// + /// Configures the input to the batch request. /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// + /// + /// Stats about the batch. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? model = default, string? displayName = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? priority = default, - string? model = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index a13cf083..cb8b9f5e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -41,23 +41,23 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Configures the input to the batch request. /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// 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}`. /// - /// - /// Configures the input to the batch request. + /// + /// 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 @@ -65,12 +65,12 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, - string? displayName = default, - global::Google.Gemini.BatchStats? batchStats = default, string? priority = default, global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, + global::Google.Gemini.BatchStats? batchStats = default, + string? model = 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 7119a0ad..98a89f5b 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 @@ -31,14 +31,17 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The content to cache. + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response @@ -46,31 +49,28 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// /// /// 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. - /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? ttl = default, + string? expireTime = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, global::System.Collections.Generic.IList? tools = default, string? displayName = default, + global::System.Collections.Generic.IList? contents = default, string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? expireTime = 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 8b34b6f2..7281ed9a 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 @@ -41,14 +41,17 @@ public partial interface IGeminiClient /// /// /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The content to cache. + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response @@ -56,33 +59,30 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// /// /// 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. - /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// 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 CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? ttl = default, + string? expireTime = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, global::System.Collections.Generic.IList? tools = default, string? displayName = default, + global::System.Collections.Generic.IList? contents = default, string? model = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? expireTime = 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..8736c8ac 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// - /// - /// 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. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs index 23ae22ac..674f1dfe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs @@ -46,14 +46,14 @@ 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. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -62,9 +62,9 @@ public partial interface IGeminiClient string permissionsId, string corporaId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs index 00853fc0..b49a06d0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 9343a103..c3140548 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 382b446c..879d91fd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index e31c28d5..f429f259 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -36,12 +36,12 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Custom metadata to be associated with the file. - /// /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// + /// + /// Custom metadata to be associated with the file. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -50,8 +50,8 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, string? fileName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs index 6616cc1c..09ea978f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -36,27 +36,27 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - /// - /// Custom metadata to be associated with the data. + /// + /// Optional. Display name of the created document. /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// - /// - /// Optional. Display name of the created document. + /// + /// Custom metadata to be associated with the data. + /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - global::System.Collections.Generic.IList? customMetadata = default, - string? mimeType = default, string? displayName = default, + string? mimeType = default, + global::System.Collections.Generic.IList? customMetadata = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index 2f5b194e..39678846 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). /// /// + /// + /// Configurations for the EmbedContent request. + /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configurations for the EmbedContent 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 ModelsEmbedContentAsync( string modelsId, + global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, string? model = default, global::Google.Gemini.Content? content = default, - global::Google.Gemini.EmbedContentConfig? embedContentConfig = 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 e5b2a1ac..8d03225d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 04e9080f..03449650 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 f60e3582..3acefc3c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 20a27c38..eeed2af9 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 @@ -36,47 +36,47 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. 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. List of project numbers that have read access to the tuned model. /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuning tasks that create tuned models. - /// /// /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? topP = default, + string? baseModel = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, float? temperature = default, string? displayName = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? baseModel = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? description = default, + float? topP = 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 4373f292..2039415e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 f7fa48f2..b7c5359c 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 @@ -41,48 +41,48 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuning tasks that create tuned models. - /// /// /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// 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, - float? topP = default, + string? baseModel = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, float? temperature = default, string? displayName = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? baseModel = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? description = default, + float? topP = 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..5c5f33eb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// - /// - /// 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. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs index b9a1f31c..9e3910e8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs @@ -46,14 +46,14 @@ 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. + /// + /// Optional. Immutable. The type of the grantee. /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -62,9 +62,9 @@ public partial interface IGeminiClient string tunedModelsId, string permissionsId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs index c22c0f5d..28fd5c5f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 e19b3ee9..1b9bdfd1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, bool? store = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, + global::System.Collections.Generic.IList? safetySettings = 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 9f79e3e5..030f87e1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,470 +13,470 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - 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.AudioResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - 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.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), 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.ThinkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [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.SemanticRetrieverChunk))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningSnapshot))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearchRetrieval))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] + 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ResponseFormatConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormat))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormat))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TextResponseFormat))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCachedContentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExample))] + [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::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.FileSearchStore))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] - [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.Web))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponsePart))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingAttribution))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] + [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.Tool))] + [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.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.RetrievalConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] - [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.TopCandidates))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.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.ImageResponseFormatMimeType), 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadataServiceTier), TypeInfoPropertyName = "UsageMetadataServiceTier2")] - [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.Empty))] - [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.TranslationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] - [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.ListCachedContentsResponse))] - [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.GroundingChunkCustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.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.GoogleAiGenerativelanguageV1betaSegment))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.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.DocumentState), TypeInfoPropertyName = "DocumentState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormatDelivery), TypeInfoPropertyName = "ImageResponseFormatDelivery2")] - [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.TransferOwnershipResponse))] - [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.CitationSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclarationBehavior), TypeInfoPropertyName = "FunctionDeclarationBehavior2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFileSearchStoresResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] - [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.InlinedResponse))] - [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.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] - [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.AsyncBatchEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListTunedModelsResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfigTaskType), TypeInfoPropertyName = "EmbedContentConfigTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkCustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionGranteeType), TypeInfoPropertyName = "PermissionGranteeType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionRole), TypeInfoPropertyName = "PermissionRole2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StreamableHttpTransport))] + [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::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [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 ac3a8e92..fa741b45 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,363 +28,363 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.ThinkingConfig? Type0 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type0 { get; set; } /// /// /// - public bool? Type1 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type1 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type2 { get; set; } + public global::Google.Gemini.StringList? Type2 { get; set; } /// /// /// - public int? Type3 { get; set; } + public global::System.Collections.Generic.IList? Type3 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type4 { get; set; } + public string? Type4 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type5 { get; set; } + public global::Google.Gemini.CitationSource? Type5 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type6 { get; set; } + public int? Type6 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type7 { get; set; } + public global::Google.Gemini.Schema? Type7 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type8 { get; set; } + public double? Type8 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type9 { get; set; } + public object? Type9 { get; set; } /// /// /// - public string? Type10 { get; set; } + public global::Google.Gemini.SchemaType? Type10 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type11 { get; set; } + public bool? Type11 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type12 { get; set; } + public global::System.Collections.Generic.Dictionary? Type12 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type13 { get; set; } + public global::System.Collections.Generic.IList? Type13 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type14 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type14 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type15 { get; set; } + public global::System.Collections.Generic.IList? Type15 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type16 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type16 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type17 { get; set; } + public global::Google.Gemini.BatchStats? Type17 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type18 { get; set; } + public global::Google.Gemini.ResponseFormatConfig? Type18 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type19 { get; set; } + public global::Google.Gemini.ImageResponseFormat? Type19 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type20 { get; set; } + public global::Google.Gemini.AudioResponseFormat? Type20 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type21 { get; set; } + public global::Google.Gemini.TextResponseFormat? Type21 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type22 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type22 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type23 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type23 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type24 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type24 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type25 { get; set; } + public global::System.Collections.Generic.IList? Type25 { get; set; } /// /// /// - public object? Type26 { get; set; } + public global::Google.Gemini.UrlMetadata? Type26 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type27 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type27 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type28 { get; set; } + public global::System.Collections.Generic.IList? Type28 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type29 { get; set; } + public global::Google.Gemini.CachedContent? Type29 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type30 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type30 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type31 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type31 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type32 { get; set; } + public global::Google.Gemini.InputConfig? Type32 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type33 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type33 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type34 { get; set; } + public global::Google.Gemini.TuningExample? Type34 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type35 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type35 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type36 { get; set; } + public global::System.Collections.Generic.IList? Type36 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type37 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type37 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type38 { get; set; } + public global::System.Collections.Generic.IList? Type38 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type39 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type39 { get; set; } /// /// /// - public global::Google.Gemini.File? Type40 { get; set; } + public global::Google.Gemini.FileSearchStore? Type40 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type41 { get; set; } + public global::Google.Gemini.Part? Type41 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type42 { get; set; } + public global::Google.Gemini.VideoMetadata? Type42 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type43 { get; set; } + public global::Google.Gemini.ToolResponse? Type43 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type44 { get; set; } + public global::Google.Gemini.FunctionResponse? Type44 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type45 { get; set; } + public global::Google.Gemini.FileData? Type45 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type46 { get; set; } + public global::Google.Gemini.Blob? Type46 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type47 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type47 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type48 { get; set; } + public global::Google.Gemini.ExecutableCode? Type48 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type49 { get; set; } + public byte[]? Type49 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type50 { get; set; } + public global::Google.Gemini.ToolCall? Type50 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type51 { get; set; } + public global::Google.Gemini.FunctionCall? Type51 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type52 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type52 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type53 { get; set; } + public global::Google.Gemini.VoiceConfig? Type53 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type54 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type54 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type55 { get; set; } + public global::Google.Gemini.Tool? Type55 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type56 { get; set; } + public global::System.Collections.Generic.IList? Type56 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type57 { get; set; } + public global::Google.Gemini.McpServer? Type57 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type58 { get; set; } + public global::System.Collections.Generic.IList? Type58 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type59 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type59 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type60 { get; set; } + public global::Google.Gemini.UrlContext? Type60 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type61 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type61 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type62 { get; set; } + public global::Google.Gemini.FileSearch? Type62 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type63 { get; set; } + public global::Google.Gemini.GoogleMaps? Type63 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type64 { get; set; } + public global::Google.Gemini.GoogleSearch? Type64 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type65 { get; set; } + public global::Google.Gemini.ComputerUse? Type65 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type66 { get; set; } + public global::Google.Gemini.CodeExecution? Type66 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type67 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type67 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type68 { get; set; } + public global::System.Collections.Generic.IList? Type68 { get; set; } /// /// /// - public float? Type69 { get; set; } + public global::Google.Gemini.GroundingChunk? Type69 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type70 { get; set; } + public global::System.Collections.Generic.IList? Type70 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type71 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type71 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type72 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type72 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type73 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type73 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type74 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type74 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type75 { get; set; } + public global::System.Collections.Generic.IList? Type75 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type76 { get; set; } + public global::Google.Gemini.Document? Type76 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type77 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type77 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type78 { get; set; } + public global::System.Collections.Generic.IList? Type78 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type79 { get; set; } + public global::Google.Gemini.Operation? Type79 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type80 { get; set; } + public global::Google.Gemini.ImageResponseFormatMimeType? Type80 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type81 { get; set; } + public global::Google.Gemini.ImageResponseFormatDelivery? Type81 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type82 { get; set; } + public global::Google.Gemini.ImageResponseFormatAspectRatio? Type82 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type83 { get; set; } + public global::Google.Gemini.ImageResponseFormatImageSize? Type83 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type84 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type84 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type85 { get; set; } + public global::Google.Gemini.ImageSearch? Type85 { get; set; } /// /// /// - public global::Google.Gemini.ResponseFormatConfig? Type86 { get; set; } + public global::Google.Gemini.GenerationConfig? Type86 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormat? Type87 { get; set; } + public global::System.Collections.Generic.IList? Type87 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormat? Type88 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type88 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormat? Type89 { get; set; } + public global::Google.Gemini.ImageConfig? Type89 { get; set; } /// /// /// @@ -392,764 +392,764 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type91 { get; set; } + public float? Type91 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type92 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type92 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type93 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type93 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type94 { get; set; } + public global::Google.Gemini.TranslationConfig? Type94 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type95 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type95 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type96 { get; set; } + public global::System.Collections.Generic.IList? Type96 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type97 { get; set; } + public global::Google.Gemini.Permission? Type97 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type98 { get; set; } + public global::Google.Gemini.WebSearch? Type98 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type99 { get; set; } + public global::Google.Gemini.InlinedRequest? Type99 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type100 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type100 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type101 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type101 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type102 { get; set; } + public global::System.Collections.Generic.IList? Type102 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type103 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type103 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type104 { get; set; } + public global::Google.Gemini.SafetySetting? Type104 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type105 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type105 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type106 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type106 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type107 { get; set; } + public global::Google.Gemini.AudioResponseFormatMimeType? Type107 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type108 { get; set; } + public global::Google.Gemini.AudioResponseFormatDelivery? Type108 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type109 { get; set; } + public global::Google.Gemini.CustomMetadata? Type109 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type110 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type110 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type111 { get; set; } + public global::Google.Gemini.TunedModelSource? Type111 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type112 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type112 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type113 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type113 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type114 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type114 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type115 { get; set; } + public global::Google.Gemini.Web? Type115 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type116 { get; set; } + public global::Google.Gemini.PromptFeedback? Type116 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type117 { get; set; } + public global::System.Collections.Generic.IList? Type117 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type118 { get; set; } + public global::Google.Gemini.SafetyRating? Type118 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type119 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type119 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type120 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type120 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type121 { get; set; } + public global::Google.Gemini.Candidate? Type121 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type122 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type122 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type123 { get; set; } + public global::Google.Gemini.Content? Type123 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type124 { get; set; } + public global::Google.Gemini.CitationMetadata? Type124 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type125 { get; set; } + public global::System.Collections.Generic.IList? Type125 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type126 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type126 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type127 { get; set; } + public global::Google.Gemini.LogprobsResult? Type127 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type128 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type128 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type129 { get; set; } + public global::Google.Gemini.LatLng? Type129 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type130 { get; set; } + public global::Google.Gemini.Maps? Type130 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type131 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type131 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type132 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type132 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type133 { get; set; } + public global::System.Collections.Generic.IList? Type133 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type134 { get; set; } + public global::System.Collections.Generic.IList? Type134 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type135 { get; set; } + public global::Google.Gemini.ToolConfig? Type135 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type136 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type136 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type137 { get; set; } + public global::System.Collections.Generic.IList? Type137 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type138 { get; set; } + public global::System.Collections.Generic.IList? Type138 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type139 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type139 { get; set; } /// /// /// - public byte[]? Type140 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type140 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type141 { get; set; } + public global::Google.Gemini.Status? Type141 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type142 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type142 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type143 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type143 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type144 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type144 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type145 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type145 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type146 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type146 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormatMimeType? Type147 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type147 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type148 { get; set; } + public global::System.Collections.Generic.IList? Type148 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type149 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type149 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type150 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type150 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type151 { get; set; } + public global::Google.Gemini.InlinedResponse? Type151 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type152 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type152 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type153 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type153 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type154 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type154 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type155 { get; set; } + public global::Google.Gemini.Hyperparameters? Type155 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatMimeType? Type156 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type156 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatDelivery? Type157 { get; set; } + public global::System.Collections.Generic.IList? Type157 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type158 { get; set; } + public global::System.Collections.Generic.IList? Type158 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type159 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type159 { get; set; } /// /// /// - public double? Type160 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type160 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type161 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type161 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type162 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type162 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type163 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type163 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type164 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type164 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type165 { get; set; } + public global::Google.Gemini.TextResponseFormatMimeType? Type165 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type166 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type166 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type167 { get; set; } + public global::System.Collections.Generic.IList? Type167 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type168 { get; set; } + public global::Google.Gemini.Model? Type168 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type169 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type169 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadataServiceTier? Type170 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type170 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type171 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type171 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type172 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type172 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type173 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type173 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type174 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type174 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type175 { get; set; } + public global::System.Collections.Generic.IList? Type175 { get; set; } /// /// /// - public global::Google.Gemini.TranslationConfig? Type176 { get; set; } + public global::Google.Gemini.InlinedResponses? Type176 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type177 { get; set; } + public global::System.Collections.Generic.IList? Type177 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type178 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type178 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type179 { get; set; } + public global::System.Collections.Generic.IList? Type179 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type180 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type180 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type181 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type181 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type182 { get; set; } + public global::Google.Gemini.Image? Type182 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type183 { get; set; } + public global::Google.Gemini.Interval? Type183 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type184 { get; set; } + public global::Google.Gemini.SearchTypes? Type184 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type185 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type185 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type186 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type186 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type187 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type187 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type188 { get; set; } + public global::System.Collections.Generic.IList? Type188 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type189 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type189 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type190 { get; set; } + public global::System.Collections.Generic.IList? Type190 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type191 { get; set; } + public global::Google.Gemini.TopCandidates? Type191 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type192 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type192 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type193 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type193 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type194 { get; set; } + public global::System.Collections.Generic.IList? Type194 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type195 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type195 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type196 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type196 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type197 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type197 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type198 { get; set; } + public global::Google.Gemini.GeneratedFile? Type198 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type199 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type199 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type200 { get; set; } + public global::Google.Gemini.TuningTask? Type200 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type201 { get; set; } + public global::System.Collections.Generic.IList? Type201 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type202 { get; set; } + public global::Google.Gemini.Dataset? Type202 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type203 { get; set; } + public global::System.Collections.Generic.IList? Type203 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type204 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type204 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type205 { get; set; } + public global::Google.Gemini.RetrievedContext? Type205 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatDelivery? Type206 { get; set; } + public global::Google.Gemini.File? Type206 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatImageSize? Type207 { get; set; } + public global::Google.Gemini.FileState? Type207 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatAspectRatio? Type208 { get; set; } + public global::Google.Gemini.FileSource? Type208 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatMimeType? Type209 { get; set; } + public global::Google.Gemini.UsageMetadata? Type209 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type210 { get; set; } + public global::Google.Gemini.UsageMetadataServiceTier? Type210 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type211 { get; set; } + public global::Google.Gemini.ModelStatus? Type211 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type212 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type212 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type213 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type213 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type214 { get; set; } + public global::System.Collections.Generic.IList? Type214 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type215 { get; set; } + public global::Google.Gemini.Corpus? Type215 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type216 { get; set; } + public global::Google.Gemini.DocumentState? Type216 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type217 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type217 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type218 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type218 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type219 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type219 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type220 { get; set; } + public global::System.Collections.Generic.IList? Type220 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type221 { get; set; } + public global::Google.Gemini.TunedModel? Type221 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type222 { get; set; } + public global::Google.Gemini.TuningExamples? Type222 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type223 { get; set; } + public global::Google.Gemini.TunedModelState? Type223 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type224 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type224 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type225 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type225 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type226 { get; set; } + public global::Google.Gemini.Empty? Type226 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type227 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type227 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type228 { get; set; } + public global::System.Collections.Generic.IList? Type228 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type229 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type229 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type230 { get; set; } + public global::System.Collections.Generic.IList? Type230 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type231 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type231 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type232 { get; set; } + public global::Google.Gemini.PermissionRole? Type232 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type233 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type233 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type234 { get; set; } + public global::System.Collections.Generic.IList? Type234 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type235 { get; set; } + public global::System.Collections.Generic.IList? Type235 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type236 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type236 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type237 { get; set; } + public global::System.Collections.Generic.Dictionary? Type237 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type238 { get; set; } + public global::System.Collections.Generic.IList? Type238 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type239 { get; set; } + public global::System.Collections.Generic.IList? Type239 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type240 { get; set; } + public global::Google.Gemini.InlinedRequests? 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.AsyncBatchEmbedContentRequest? Type242 { get; set; } + public global::System.Collections.Generic.IList? Type242 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type243 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type243 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type244 { get; set; } + public global::System.Collections.Generic.IList? Type244 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type245 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type245 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type246 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type246 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type247 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type247 { 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; } /// /// /// @@ -1157,46 +1157,46 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType38 { get; set; } + public global::System.Collections.Generic.List? ListType38 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType39 { get; set; } + public global::System.Collections.Generic.List? ListType39 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType40 { get; set; } + public global::System.Collections.Generic.List? ListType40 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType41 { get; set; } + public global::System.Collections.Generic.List? ListType41 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType42 { get; set; } + public global::System.Collections.Generic.List? ListType42 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType43 { get; set; } + public global::System.Collections.Generic.List? ListType43 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType44 { get; set; } + public global::System.Collections.Generic.List? ListType44 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs index 31aabb54..5f9a1bf9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class AttributionSourceId { - /// - /// Identifier for a part within a `GroundingPassage`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] - public global::Google.Gemini.GroundingPassageId? GroundingPassage { get; set; } - /// /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. /// [global::System.Text.Json.Serialization.JsonPropertyName("semanticRetrieverChunk")] public global::Google.Gemini.SemanticRetrieverChunk? SemanticRetrieverChunk { get; set; } + /// + /// Identifier for a part within a `GroundingPassage`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] + public global::Google.Gemini.GroundingPassageId? GroundingPassage { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class AttributionSourceId /// /// Initializes a new instance of the class. /// - /// - /// Identifier for a part within a `GroundingPassage`. - /// /// /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. /// + /// + /// Identifier for a part within a `GroundingPassage`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AttributionSourceId( - global::Google.Gemini.GroundingPassageId? groundingPassage, - global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk) + global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk, + global::Google.Gemini.GroundingPassageId? groundingPassage) { - this.GroundingPassage = groundingPassage; this.SemanticRetrieverChunk = semanticRetrieverChunk; + this.GroundingPassage = groundingPassage; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs index 895f2f95..62f1f7e8 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class AudioResponseFormat { /// - /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). + /// Optional. Sample rate in Hz. /// - [global::System.Text.Json.Serialization.JsonPropertyName("bitRate")] - public int? BitRate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sampleRate")] + public int? SampleRate { get; set; } /// /// Optional. The MIME type of the audio output. @@ -29,10 +29,10 @@ public sealed partial class AudioResponseFormat public global::Google.Gemini.AudioResponseFormatDelivery? Delivery { get; set; } /// - /// Optional. Sample rate in Hz. + /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). /// - [global::System.Text.Json.Serialization.JsonPropertyName("sampleRate")] - public int? SampleRate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("bitRate")] + public int? BitRate { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,8 +43,8 @@ public sealed partial class AudioResponseFormat /// /// Initializes a new instance of the class. /// - /// - /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). + /// + /// Optional. Sample rate in Hz. /// /// /// Optional. The MIME type of the audio output. @@ -52,22 +52,22 @@ public sealed partial class AudioResponseFormat /// /// 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). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AudioResponseFormat( - int? bitRate, + int? sampleRate, global::Google.Gemini.AudioResponseFormatMimeType? mimeType, global::Google.Gemini.AudioResponseFormatDelivery? delivery, - int? sampleRate) + int? bitRate) { - this.BitRate = bitRate; + this.SampleRate = sampleRate; this.MimeType = mimeType; this.Delivery = delivery; - this.SampleRate = sampleRate; + this.BitRate = bitRate; } /// 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 fbc6476e..85f553af 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 @@ -8,6 +8,13 @@ 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 that were successfully processed.
/// Included only in responses @@ -29,13 +36,6 @@ public sealed partial class BatchStats [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] public string? PendingRequestCount { get; set; } - /// - /// Output only. The number of requests that 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 /// @@ -45,6 +45,10 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -57,23 +61,19 @@ public sealed partial class BatchStats /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( + string? failedRequestCount, string? successfulRequestCount, string? requestCount, - string? pendingRequestCount, - string? failedRequestCount) + string? pendingRequestCount) { + this.FailedRequestCount = failedRequestCount; this.SuccessfulRequestCount = successfulRequestCount; this.RequestCount = requestCount; this.PendingRequestCount = pendingRequestCount; - this.FailedRequestCount = failedRequestCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs index 2f59c767..17a76eb9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Blob { - /// - /// Raw bytes for media formats. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("data")] - public byte[]? Data { get; set; } - /// /// The IANA standard MIME type of the source data. Examples 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). // /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Raw bytes for media formats. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("data")] + public byte[]? Data { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Blob /// /// Initializes a new instance of the class. /// - /// - /// Raw bytes for media formats. - /// /// /// 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). // /// + /// + /// Raw bytes for media formats. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Blob( - byte[]? data, - string? mimeType) + string? mimeType, + byte[]? data) { - this.Data = data; this.MimeType = mimeType; + this.Data = data; } /// 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 372a393e..3f64de29 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs @@ -9,17 +9,17 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Output only. Creation time of the cache entry.
+ /// Output only. When the cache entry was last updated in UTC time.
/// 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; } /// - /// Input only. New TTL for this resource, input only. + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { 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 +28,23 @@ public sealed partial class CachedContent public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Optional. Input only. Immutable. The content to cache. + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Metadata on the usage of the cached content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + + /// + /// Input only. New TTL for this resource, input only. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response @@ -46,11 +59,10 @@ public sealed partial class CachedContent public string? DisplayName { get; set; } /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` @@ -65,23 +77,11 @@ public sealed partial class CachedContent public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// Metadata on the usage of the cached content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } - - /// - /// 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; } - - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -92,18 +92,25 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// - /// - /// Output only. Creation time of the cache entry.
+ /// + /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The content to cache. + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses + /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response @@ -111,9 +118,8 @@ public sealed partial class CachedContent /// /// 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 + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` @@ -121,45 +127,39 @@ public sealed partial class CachedContent /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Output only. When the cache entry was last updated in UTC time.
+ /// + /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - string? createTime, - string? ttl, + string? updateTime, + string? expireTime, global::Google.Gemini.Content? systemInstruction, - global::System.Collections.Generic.IList? contents, + string? name, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + string? ttl, global::System.Collections.Generic.IList? tools, string? displayName, - string? name, + global::System.Collections.Generic.IList? contents, string? model, global::Google.Gemini.ToolConfig? toolConfig, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, - string? updateTime, - string? expireTime) + string? createTime) { - this.CreateTime = createTime; - this.Ttl = ttl; + this.UpdateTime = updateTime; + this.ExpireTime = expireTime; this.SystemInstruction = systemInstruction; - this.Contents = contents; + this.Name = name; + this.UsageMetadata = usageMetadata; + this.Ttl = ttl; this.Tools = tools; this.DisplayName = displayName; - this.Name = name; + this.Contents = contents; this.Model = model; this.ToolConfig = toolConfig; - this.UsageMetadata = usageMetadata; - this.UpdateTime = updateTime; - this.ExpireTime = expireTime; + this.CreateTime = createTime; } /// 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 02fee0fc..bd321b2a 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 @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
@@ -22,19 +23,6 @@ public sealed partial class Candidate [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } - /// - /// 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("avgLogprobs")] - public double? AvgLogprobs { get; set; } - /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// @@ -48,6 +36,12 @@ public sealed partial class Candidate [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] public int? TokenCount { get; set; } + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } + /// /// Metadata related to url context retrieval tool. /// @@ -55,11 +49,17 @@ public sealed partial class Candidate public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { 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; } /// /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
@@ -69,23 +69,23 @@ public sealed partial class Candidate public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// - /// A collection of source attributions for a piece of content. + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Metadata returned to client when grounding is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -96,20 +96,14 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// 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 /// /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - /// - /// Metadata returned to client when grounding is enabled. - /// - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses - /// /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// @@ -117,56 +111,62 @@ public sealed partial class Candidate /// Output only. Token count for this candidate.
/// Included only in responses /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Metadata related to url context retrieval tool. /// - /// - /// 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 /// + /// + /// A collection of source attributions for a piece of content. + /// /// /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses + /// + /// Logprobs Result /// - /// - /// A collection of source attributions for a piece of content. + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Metadata returned to client when grounding is enabled. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - global::Google.Gemini.LogprobsResult? logprobsResult, + string? finishMessage, global::Google.Gemini.CandidateFinishReason? finishReason, - global::Google.Gemini.GroundingMetadata? groundingMetadata, - double? avgLogprobs, global::System.Collections.Generic.IList? safetyRatings, int? tokenCount, + global::Google.Gemini.Content? content, global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - string? finishMessage, - global::System.Collections.Generic.IList? groundingAttributions, int? index, global::Google.Gemini.CitationMetadata? citationMetadata, - global::Google.Gemini.Content? content) + global::System.Collections.Generic.IList? groundingAttributions, + global::Google.Gemini.LogprobsResult? logprobsResult, + double? avgLogprobs, + global::Google.Gemini.GroundingMetadata? groundingMetadata) { - this.LogprobsResult = logprobsResult; + this.FinishMessage = finishMessage; this.FinishReason = finishReason; - this.GroundingMetadata = groundingMetadata; - this.AvgLogprobs = avgLogprobs; this.SafetyRatings = safetyRatings; this.TokenCount = tokenCount; + this.Content = content; this.UrlContextMetadata = urlContextMetadata; - this.FinishMessage = finishMessage; - this.GroundingAttributions = groundingAttributions; this.Index = index; this.CitationMetadata = citationMetadata; - this.Content = content; + this.GroundingAttributions = groundingAttributions; + this.LogprobsResult = logprobsResult; + this.AvgLogprobs = avgLogprobs; + this.GroundingMetadata = groundingMetadata; } /// 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 bcd94f07..f12c165b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -9,16 +9,10 @@ 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. + /// Optional. URI that is attributed as a source for a portion of the text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. @@ -27,10 +21,16 @@ public sealed partial class CitationSource public int? StartIndex { get; set; } /// - /// Optional. URI that is attributed as a source for a portion of the text. + /// Optional. End of the attributed segment, exclusive. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + + /// + /// 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 @@ -41,31 +41,31 @@ 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. + /// + /// Optional. URI that is attributed as a source for a portion of the text. /// /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// - /// - /// Optional. URI that is attributed as a source for a portion of the text. + /// + /// Optional. End of the attributed segment, exclusive. + /// + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - string? license, - int? endIndex, + string? uri, int? startIndex, - string? uri) + int? endIndex, + string? license) { - this.License = license; - this.EndIndex = endIndex; - this.StartIndex = startIndex; this.Uri = uri; + this.StartIndex = startIndex; + this.EndIndex = endIndex; + this.License = license; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs index c53213b9..db1b7f3e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Content { - /// - /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("role")] - public string? Role { get; set; } - /// /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. /// [global::System.Text.Json.Serialization.JsonPropertyName("parts")] public global::System.Collections.Generic.IList? Parts { get; set; } + /// + /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("role")] + public string? Role { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Content /// /// Initializes a new instance of the class. /// - /// - /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. - /// /// /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Content( - string? role, - global::System.Collections.Generic.IList? parts) + global::System.Collections.Generic.IList? parts, + string? role) { - this.Role = role; this.Parts = parts; + this.Role = role; } /// 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 ac6c974b..dbdad75a 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 @@ -15,6 +15,13 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + /// /// 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" /// @@ -28,13 +35,6 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -48,6 +48,10 @@ public sealed partial class Corpus /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses /// + /// + /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// Included only in responses + /// /// /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// @@ -55,23 +59,19 @@ public sealed partial class Corpus /// 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? updateTime, string? displayName, - string? createTime, - string? updateTime) + string? createTime) { this.Name = name; + this.UpdateTime = updateTime; this.DisplayName = displayName; this.CreateTime = createTime; - this.UpdateTime = updateTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index f5a08be2..490cc3d7 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class CountTokensResponse { + /// + /// 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; } + /// /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses @@ -21,12 +27,6 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] public int? CachedContentTokenCount { 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; } - /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -43,6 +43,9 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// /// /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses @@ -50,9 +53,6 @@ public sealed partial class CountTokensResponse /// /// Number of tokens in the cached part of the prompt (the cached content). /// - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. - /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -61,14 +61,14 @@ public sealed partial class CountTokensResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( + int? totalTokens, global::System.Collections.Generic.IList? cacheTokensDetails, int? cachedContentTokenCount, - int? totalTokens, global::System.Collections.Generic.IList? promptTokensDetails) { + this.TotalTokens = totalTokens; this.CacheTokensDetails = cacheTokensDetails; this.CachedContentTokenCount = cachedContentTokenCount; - this.TotalTokens = totalTokens; this.PromptTokensDetails = promptTokensDetails; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs index e2ee2591..f2747c71 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class CustomLongRunningOperation { /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { 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}`. @@ -21,16 +21,10 @@ 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. @@ -38,6 +32,12 @@ public sealed partial class CustomLongRunningOperation [global::System.Text.Json.Serialization.JsonPropertyName("response")] public object? Response { get; set; } + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. - /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - global::Google.Gemini.Status? error, - string? name, object? metadata, - bool? done, - object? response) + string? name, + global::Google.Gemini.Status? error, + object? response, + bool? done) { - this.Error = error; - this.Name = name; this.Metadata = metadata; - this.Done = done; + this.Name = name; + this.Error = error; this.Response = response; + this.Done = done; } /// 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 b0bba5f2..88802fd0 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. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses @@ -30,11 +24,16 @@ public sealed partial class Document public global::Google.Gemini.DocumentState? State { get; set; } /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The mime type of the Document.
@@ -44,16 +43,10 @@ public sealed partial class Document public string? MimeType { get; set; } /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Output only. The Timestamp of when the `Document` was last updated.
@@ -62,6 +55,13 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { 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. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. - /// /// /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses @@ -82,45 +79,48 @@ public sealed partial class Document /// Output only. Current state of the `Document`.
/// Included only in responses /// - /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses - /// - /// - /// Output only. The mime type of the Document.
- /// Included only in responses - /// /// /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// /// /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// + /// + /// Output only. The mime type of the Document.
+ /// Included only in responses + /// + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// /// /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// + /// + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - global::System.Collections.Generic.IList? customMetadata, string? createTime, global::Google.Gemini.DocumentState? state, - string? sizeBytes, - string? mimeType, string? name, string? displayName, - string? updateTime) + string? mimeType, + global::System.Collections.Generic.IList? customMetadata, + string? updateTime, + string? sizeBytes) { - this.CustomMetadata = customMetadata; this.CreateTime = createTime; this.State = state; - this.SizeBytes = sizeBytes; - this.MimeType = mimeType; this.Name = name; this.DisplayName = displayName; + this.MimeType = mimeType; + this.CustomMetadata = customMetadata; this.UpdateTime = updateTime; + this.SizeBytes = sizeBytes; } /// 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 e145704f..52a7870f 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 @@ -9,24 +9,17 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - - /// - /// Configures the input to the batch request. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. The time at which the batch was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Required. The user-defined name of this batch. @@ -35,10 +28,11 @@ public sealed partial class EmbedContentBatch public string? DisplayName { 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.EmbedContentBatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. @@ -46,13 +40,6 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("priority")] public string? Priority { get; set; } - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Output only. The state of the batch.
/// Included only in responses @@ -62,16 +49,17 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// /// Output only. The time at which the batch was last updated.
@@ -80,6 +68,18 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + + /// + /// Stats about the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -89,71 +89,71 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Configures the input to the batch request. - /// - /// - /// 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. - /// /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// /// /// 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}`. + /// + /// Configures the input to the batch request. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// /// /// 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 `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// + /// Stats about the batch. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( + string? model, string? createTime, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, - string? endTime, string? displayName, - global::Google.Gemini.EmbedContentBatchStats? batchStats, - string? priority, string? name, + string? priority, global::Google.Gemini.EmbedContentBatchState? state, - string? model, + global::Google.Gemini.InputEmbedContentConfig? inputConfig, + string? endTime, + string? updateTime, global::Google.Gemini.EmbedContentBatchOutput? output, - string? updateTime) + global::Google.Gemini.EmbedContentBatchStats? batchStats) { + this.Model = model; this.CreateTime = createTime; - this.InputConfig = inputConfig; - this.EndTime = endTime; this.DisplayName = displayName; - this.BatchStats = batchStats; - this.Priority = priority; this.Name = name; + this.Priority = priority; this.State = state; - this.Model = model; - this.Output = output; + this.InputConfig = inputConfig; + this.EndTime = endTime; this.UpdateTime = updateTime; + this.Output = output; + this.BatchStats = batchStats; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs index 30962d83..cdfcfb5c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class EmbedContentBatchStats { /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } /// /// Output only. The number of requests that are still pending processing.
@@ -23,18 +23,18 @@ public sealed partial class EmbedContentBatchStats public string? PendingRequestCount { get; set; } /// - /// Output only. The number of requests in the batch.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that failed to be processed.
+ /// + /// Output only. The number of requests in the batch.
/// Included only in responses /// /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - /// - /// Output only. The number of requests in the batch.
- /// Included only in responses - /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? failedRequestCount, - string? pendingRequestCount, string? requestCount, - string? successfulRequestCount) + string? pendingRequestCount, + string? successfulRequestCount, + string? failedRequestCount) { - this.FailedRequestCount = failedRequestCount; - this.PendingRequestCount = pendingRequestCount; this.RequestCount = requestCount; + this.PendingRequestCount = pendingRequestCount; this.SuccessfulRequestCount = successfulRequestCount; + this.FailedRequestCount = failedRequestCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs index 561d1860..ed38e4de 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentConfig { - /// - /// Optional. The title for the text. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// Optional. The task type of the embedding. /// @@ -21,18 +15,24 @@ 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. The title for the text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// Optional. Whether to enable OCR for document content. /// @@ -40,10 +40,10 @@ public sealed partial class EmbedContentConfig public bool? DocumentOcr { get; set; } /// - /// Optional. Whether to extract audio from video content. + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } + [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. 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. The title for the text. + /// /// /// Optional. Whether to enable OCR for document content. /// - /// - /// Optional. Whether to extract audio from video 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( - string? title, global::Google.Gemini.EmbedContentConfigTaskType? taskType, - int? outputDimensionality, bool? autoTruncate, + bool? audioTrackExtraction, + string? title, bool? documentOcr, - bool? audioTrackExtraction) + int? outputDimensionality) { - this.Title = title; this.TaskType = taskType; - this.OutputDimensionality = outputDimensionality; this.AutoTruncate = autoTruncate; - this.DocumentOcr = documentOcr; this.AudioTrackExtraction = audioTrackExtraction; + this.Title = title; + 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 bca06f99..92472f54 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs @@ -11,10 +11,11 @@ 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}` + /// 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("model")] - public string? Model { get; set; } + [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`). @@ -23,12 +24,6 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public int? OutputDimensionality { get; set; } - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } - /// /// 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`). /// @@ -44,11 +39,16 @@ public sealed partial class EmbedContentRequest public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } /// - /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. + /// 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("title")] - [global::System.Obsolete("This property marked as deprecated.")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,26 +59,26 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// + /// + /// Configurations for the EmbedContent request. + /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configurations for the EmbedContent request. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( + global::Google.Gemini.EmbedContentConfig? embedContentConfig, string? model, - global::Google.Gemini.Content? content, - global::Google.Gemini.EmbedContentConfig? embedContentConfig) + global::Google.Gemini.Content? content) { + this.EmbedContentConfig = embedContentConfig; this.Model = model; this.Content = content; - this.EmbedContentConfig = embedContentConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs index ecd1c5d4..20f3b809 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class EmbeddingUsageMetadata { /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. Number of tokens in the prompt.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] - public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// - /// Output only. Number of tokens in the prompt.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] + public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class EmbeddingUsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// /// /// Output only. Number of tokens in the prompt.
/// Included only in responses /// + /// + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbeddingUsageMetadata( - global::System.Collections.Generic.IList? promptTokenDetails, - int? promptTokenCount) + int? promptTokenCount, + global::System.Collections.Generic.IList? promptTokenDetails) { - this.PromptTokenDetails = promptTokenDetails; this.PromptTokenCount = promptTokenCount; + this.PromptTokenDetails = promptTokenDetails; } /// 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 b4676a70..9b37be1c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class ExecutableCode { /// - /// Required. Programming language of the `code`. + /// Required. The code to be executed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("language")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter))] - public global::Google.Gemini.ExecutableCodeLanguage? Language { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("code")] + public string? Code { get; set; } /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. @@ -22,10 +21,11 @@ public sealed partial class ExecutableCode public string? Id { get; set; } /// - /// Required. The code to be executed. + /// Required. Programming language of the `code`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public string? Code { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("language")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter))] + public global::Google.Gemini.ExecutableCodeLanguage? Language { get; set; } /// /// 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. Programming language of the `code`. + /// + /// Required. The code to be executed. /// /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// - /// - /// Required. The code to be executed. + /// + /// Required. Programming language of the `code`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( - global::Google.Gemini.ExecutableCodeLanguage? language, + string? code, string? id, - string? code) + global::Google.Gemini.ExecutableCodeLanguage? language) { - this.Language = language; - this.Id = id; this.Code = code; + this.Id = id; + this.Language = language; } /// 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 d70e89e4..b6a0b195 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class File { /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` - /// - [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). + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// /// Output only. The timestamp of when the `File` was created.
@@ -28,25 +22,11 @@ public sealed partial class File public string? CreateTime { get; set; } /// - /// Output only. MIME type of the file.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - - /// - /// Source of the File. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] - public global::Google.Gemini.FileSource? Source { get; set; } - - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// /// Output only. The uri of the `File`.
@@ -56,11 +36,11 @@ public sealed partial class File public string? Uri { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// /// Output only. The timestamp of when the `File` was last updated.
@@ -69,6 +49,19 @@ public sealed partial class File [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). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + + /// + /// Output only. MIME type of the file.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Output only. Size of the file in bytes.
/// Included only in responses @@ -77,10 +70,11 @@ public sealed partial class File public string? SizeBytes { get; set; } /// - /// Metadata for a video `File`. + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" @@ -89,11 +83,10 @@ public sealed partial class File public string? DisplayName { get; set; } /// - /// Output only. The download uri of the `File`.
- /// Included only in responses + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. Processing state of the File.
@@ -103,6 +96,13 @@ public sealed partial class File [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] public global::Google.Gemini.FileState? State { get; set; } + /// + /// Source of the File. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] + public global::Google.Gemini.FileSource? Source { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -112,90 +112,90 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` - /// - /// - /// 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). + /// + /// Metadata for a video `File`. /// /// /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Output only. MIME type of the file.
- /// Included only in responses - /// - /// - /// Source of the File. - /// - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// /// /// Output only. The uri of the `File`.
/// Included only in responses /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// + /// Output only. The download uri of the `File`.
/// Included only in responses /// /// /// 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). + /// + /// + /// Output only. MIME type of the file.
+ /// Included only in responses + /// /// /// Output only. Size of the file in bytes.
/// Included only in responses /// - /// - /// Metadata for a video `File`. + /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Included only in responses /// /// /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - /// - /// Output only. The download uri of the `File`.
- /// Included only in responses + /// + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// /// /// Output only. Processing state of the File.
/// Included only in responses /// + /// + /// Source of the File. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - string? name, - global::Google.Gemini.Status? error, + global::Google.Gemini.VideoFileMetadata? videoMetadata, string? createTime, - string? mimeType, - global::Google.Gemini.FileSource? source, - string? expirationTime, - string? uri, byte[]? sha256Hash, + string? uri, + string? downloadUri, string? updateTime, + global::Google.Gemini.Status? error, + string? mimeType, string? sizeBytes, - global::Google.Gemini.VideoFileMetadata? videoMetadata, + string? expirationTime, string? displayName, - string? downloadUri, - global::Google.Gemini.FileState? state) + string? name, + global::Google.Gemini.FileState? state, + global::Google.Gemini.FileSource? source) { - this.Name = name; - this.Error = error; + this.VideoMetadata = videoMetadata; this.CreateTime = createTime; - this.MimeType = mimeType; - this.Source = source; - this.ExpirationTime = expirationTime; - this.Uri = uri; this.Sha256Hash = sha256Hash; + this.Uri = uri; + this.DownloadUri = downloadUri; this.UpdateTime = updateTime; + this.Error = error; + this.MimeType = mimeType; this.SizeBytes = sizeBytes; - this.VideoMetadata = videoMetadata; + this.ExpirationTime = expirationTime; this.DisplayName = displayName; - this.DownloadUri = downloadUri; + this.Name = name; this.State = state; + this.Source = source; } /// 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..a5f4c4de 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// Optional. 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` /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] public global::System.Collections.Generic.IList? FileSearchStoreNames { 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; } + /// /// Optional. The number of semantic retrieval chunks to retrieve. /// @@ -35,12 +35,12 @@ 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. Metadata filter to apply to the semantic retrieval documents and chunks. + /// /// /// Optional. The number of semantic retrieval chunks to retrieve. /// @@ -48,12 +48,12 @@ public sealed partial class FileSearch [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - string? metadataFilter, global::System.Collections.Generic.IList? fileSearchStoreNames, + string? metadataFilter, int? topK) { - this.MetadataFilter = metadataFilter; this.FileSearchStoreNames = fileSearchStoreNames; + this.MetadataFilter = metadataFilter; this.TopK = topK; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index 101519f4..699ac8cd 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 @@ -9,10 +9,17 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embeddingModel")] + public string? EmbeddingModel { get; set; } /// /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
@@ -22,52 +29,45 @@ public sealed partial class FileSearchStore public string? Name { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
- /// Included only in responses + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { 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 Timestamp of when the `FileSearchStore` was last updated.
+ /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } - - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embeddingModel")] - public string? EmbeddingModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,63 +78,63 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// 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.
+ /// 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. 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 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 number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Included only in responses + /// + /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// /// /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - /// - /// 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. The number of documents in the `FileSearchStore` that have failed processing.
/// 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`.
- /// Included only in responses - /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? displayName, - string? name, - string? pendingDocumentsCount, - string? createTime, string? updateTime, - string? failedDocumentsCount, string? embeddingModel, + string? name, + string? displayName, + string? activeDocumentsCount, string? sizeBytes, - string? activeDocumentsCount) + string? createTime, + string? pendingDocumentsCount, + string? failedDocumentsCount) { - this.DisplayName = displayName; - this.Name = name; - this.PendingDocumentsCount = pendingDocumentsCount; - this.CreateTime = createTime; this.UpdateTime = updateTime; - this.FailedDocumentsCount = failedDocumentsCount; this.EmbeddingModel = embeddingModel; - this.SizeBytes = sizeBytes; + this.Name = name; + this.DisplayName = displayName; this.ActiveDocumentsCount = activeDocumentsCount; + this.SizeBytes = sizeBytes; + this.CreateTime = createTime; + this.PendingDocumentsCount = pendingDocumentsCount; + this.FailedDocumentsCount = failedDocumentsCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs index ca8d29af..6e56d9c7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class FunctionCall { /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// Optional. The function parameters and values in JSON object format. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("args")] + public object? Args { get; set; } /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. @@ -21,10 +21,10 @@ public sealed partial class FunctionCall public string? Name { get; set; } /// - /// Optional. The function parameters and values in JSON object format. + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("args")] - public object? Args { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// + /// Optional. The function parameters and values in JSON object format. /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - /// - /// Optional. The function parameters and values in JSON object format. + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - string? id, + object? args, string? name, - object? args) + string? id) { - this.Id = id; - this.Name = name; this.Args = args; + this.Name = name; + this.Id = id; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs index cbf857b7..d1066129 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 @@ -11,14 +11,8 @@ public sealed partial class FunctionDeclaration /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } - - /// - /// Required. A brief description of the function. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. @@ -27,6 +21,12 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// @@ -34,10 +34,10 @@ public sealed partial class FunctionDeclaration public object? ResponseJsonSchema { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Required. A brief description of the function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. @@ -46,10 +46,10 @@ public sealed partial class FunctionDeclaration public object? ParametersJsonSchema { get; set; } /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -60,46 +60,46 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// - /// + /// /// 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. - /// /// /// 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`. /// - /// - /// 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. /// /// /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - global::Google.Gemini.Schema? response, - string? description, + global::Google.Gemini.Schema? parameters, global::Google.Gemini.FunctionDeclarationBehavior? behavior, + string? name, object? responseJsonSchema, - global::Google.Gemini.Schema? parameters, + string? description, object? parametersJsonSchema, - string? name) + global::Google.Gemini.Schema? response) { - this.Response = response; - this.Description = description; + this.Parameters = parameters; this.Behavior = behavior; + this.Name = name; this.ResponseJsonSchema = responseJsonSchema; - this.Parameters = parameters; + this.Description = description; this.ParametersJsonSchema = parametersJsonSchema; - this.Name = name; + this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index ae324db2..e87d4496 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 @@ -9,41 +9,41 @@ 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. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] + public bool? WillContinue { 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. + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] - public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + 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`. + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] - public bool? WillContinue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// - /// 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; } /// - /// 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. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] + public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } /// /// 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. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. - /// - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// + /// + /// Required. The 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. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - /// - /// 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`. + /// + /// + /// 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. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( - object? response, - global::Google.Gemini.FunctionResponseScheduling? scheduling, - string? id, bool? willContinue, + string? name, global::System.Collections.Generic.IList? parts, - string? name) + string? id, + object? response, + global::Google.Gemini.FunctionResponseScheduling? scheduling) { - this.Response = response; - this.Scheduling = scheduling; - this.Id = id; this.WillContinue = willContinue; - this.Parts = parts; this.Name = name; + this.Parts = parts; + this.Id = id; + this.Response = response; + this.Scheduling = scheduling; } /// 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 29873688..41b96985 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs @@ -9,11 +9,17 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Output only. The time at which the batch was last updated.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// /// Output only. The state of the batch.
@@ -24,41 +30,42 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Required. The user-defined name of this batch. + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Stats about the batch. + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Output only. The time at which the batch was created.
@@ -68,17 +75,10 @@ public sealed partial class GenerateContentBatch public string? CreateTime { get; set; } /// - /// Configures the input to the batch request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } - - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,71 +89,71 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. The time at which the batch was last updated.
+ /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// /// /// 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}`. + /// + /// Configures the input to the batch request. + /// + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses + /// + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Required. The user-defined name of this batch. - /// /// /// 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. - /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Configures the input to the batch request. - /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// + /// Required. The user-defined name of this batch. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? updateTime, + string? name, + string? priority, global::Google.Gemini.GenerateContentBatchState? state, - string? model, + global::Google.Gemini.InputConfig? inputConfig, + string? endTime, + string? updateTime, global::Google.Gemini.GenerateContentBatchOutput? output, - string? displayName, global::Google.Gemini.BatchStats? batchStats, - string? priority, - string? name, + string? model, string? createTime, - global::Google.Gemini.InputConfig? inputConfig, - string? endTime) + string? displayName) { - this.UpdateTime = updateTime; + this.Name = name; + this.Priority = priority; this.State = state; - this.Model = model; + this.InputConfig = inputConfig; + this.EndTime = endTime; + this.UpdateTime = updateTime; this.Output = output; - this.DisplayName = displayName; this.BatchStats = batchStats; - this.Priority = priority; - this.Name = name; + this.Model = model; this.CreateTime = createTime; - this.InputConfig = inputConfig; - this.EndTime = endTime; + this.DisplayName = displayName; } /// 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 efb80e58..c11c84ab 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GenerateContentRequest { - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } - /// /// 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. /// @@ -21,16 +15,29 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] - public string? CachedContent { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// Optional. The service tier of the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] + public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } + + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -39,10 +46,10 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.Content? SystemInstruction { 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. + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] + public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. @@ -51,23 +58,16 @@ public sealed partial class GenerateContentRequest public bool? Store { get; set; } /// - /// Optional. The service tier of the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] - public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } - - /// - /// 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; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// 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("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,61 +78,61 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// 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. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The service tier of the request. + /// /// /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// 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}` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - global::Google.Gemini.GenerationConfig? generationConfig, global::System.Collections.Generic.IList? contents, + global::Google.Gemini.ToolConfig? toolConfig, + string? model, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, global::System.Collections.Generic.IList? tools, - string? cachedContent, global::Google.Gemini.Content? systemInstruction, - global::System.Collections.Generic.IList? safetySettings, + global::Google.Gemini.GenerationConfig? generationConfig, bool? store, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::Google.Gemini.ToolConfig? toolConfig, - string? model) + global::System.Collections.Generic.IList? safetySettings, + string? cachedContent) { - this.GenerationConfig = generationConfig; this.Contents = contents; + this.ToolConfig = toolConfig; + this.Model = model; + this.ServiceTier = serviceTier; this.Tools = tools; - this.CachedContent = cachedContent; this.SystemInstruction = systemInstruction; - this.SafetySettings = safetySettings; + this.GenerationConfig = generationConfig; this.Store = store; - this.ServiceTier = serviceTier; - this.ToolConfig = toolConfig; - this.Model = model; + this.SafetySettings = safetySettings; + 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 e2e2b729..c870c061 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// Metadata on the generation request's token usage. + /// Output only. response_id is used to identify each response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] + public string? ResponseId { get; set; } /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. @@ -20,19 +21,24 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } - /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] - public string? ResponseId { get; set; } - /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + /// + /// Candidate responses from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } + + /// + /// Metadata on the generation request's token usage. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + /// /// Output only. The model version used to generate the response.
/// Included only in responses @@ -40,12 +46,6 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] public string? ModelVersion { get; set; } - /// - /// Candidate responses from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -55,43 +55,43 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Metadata on the generation request's token usage. - /// - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. - /// /// /// Output only. response_id is used to identify each response.
/// Included only in responses /// + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// + /// + /// Candidate responses from the model. + /// + /// + /// Metadata on the generation request's token usage. + /// /// /// Output only. The model version used to generate the response.
/// Included only in responses /// - /// - /// Candidate responses from the model. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::Google.Gemini.UsageMetadata? usageMetadata, - global::Google.Gemini.ModelStatus? modelStatus, string? responseId, + global::Google.Gemini.ModelStatus? modelStatus, global::Google.Gemini.PromptFeedback? promptFeedback, - string? modelVersion, - global::System.Collections.Generic.IList? candidates) + global::System.Collections.Generic.IList? candidates, + global::Google.Gemini.UsageMetadata? usageMetadata, + string? modelVersion) { - this.UsageMetadata = usageMetadata; - this.ModelStatus = modelStatus; this.ResponseId = responseId; + this.ModelStatus = modelStatus; this.PromptFeedback = promptFeedback; - this.ModelVersion = modelVersion; this.Candidates = candidates; + this.UsageMetadata = usageMetadata; + this.ModelVersion = modelVersion; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs index 892e937f..d5e3a9e0 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 @@ -9,16 +9,12 @@ namespace Google.Gemini public sealed partial class GeneratedFile { /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` - /// - [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). + /// Output only. The state of the GeneratedFile.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] + public global::Google.Gemini.GeneratedFileState? State { get; set; } /// /// MIME type of the generatedFile. @@ -27,12 +23,16 @@ public sealed partial class GeneratedFile public string? MimeType { get; set; } /// - /// Output only. The state of the GeneratedFile.
- /// Included only in responses + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] - public global::Google.Gemini.GeneratedFileState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("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; } /// /// 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. /// + /// + /// Output only. The state of the GeneratedFile.
+ /// Included only in responses + /// + /// + /// 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). /// - /// - /// MIME type of the generatedFile. - /// - /// - /// Output only. The state of the GeneratedFile.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - string? name, - global::Google.Gemini.Status? error, + global::Google.Gemini.GeneratedFileState? state, string? mimeType, - global::Google.Gemini.GeneratedFileState? state) + string? name, + global::Google.Gemini.Status? error) { + this.State = state; + this.MimeType = mimeType; this.Name = name; this.Error = error; - this.MimeType = mimeType; - this.State = state; } /// 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 a3089093..6ee894c3 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 @@ -9,71 +9,58 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } - - /// - /// Config for speech generation and transcription. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } - - /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] - public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] - public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { 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. 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("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// 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("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// - /// Config for translation features. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] - public global::Google.Gemini.TranslationConfig? TranslationConfig { 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. + /// 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("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] + public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { 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. 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("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Config for image generation features. + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { 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. @@ -82,40 +69,35 @@ public sealed partial class GenerationConfig public float? FrequencyPenalty { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } - - /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { 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. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] + public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// Optional. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { 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 translation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] + public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. The maximum 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { 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. @@ -123,6 +105,18 @@ public sealed partial class GenerationConfig [global::System.Text.Json.Serialization.JsonPropertyName("topP")] public float? TopP { 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]. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } + + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { 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) /// @@ -130,16 +124,22 @@ public sealed partial class GenerationConfig public int? CandidateCount { 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. 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("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { 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. 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("responseMimeType")] + public string? ResponseMimeType { 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. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// + /// Config for image generation features. /// /// /// Config for speech generation and transcription. /// - /// - /// 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]. /// - /// - /// Optional. If specified, the media resolution specified will be used. + /// + /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// + /// + /// Config for thinking features. /// /// /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. /// - /// - /// 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. - /// - /// - /// Config for translation features. - /// - /// - /// Optional. If true, export the logprobs results in response. - /// - /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - /// - /// Config for image generation features. + /// + /// Optional. 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. Enables enhanced civic answers. It may not be available for all models. - /// - /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// + /// Optional. If specified, the media resolution specified will be used. /// - /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// + /// Optional. If true, export the logprobs results in response. /// - /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// Config for translation features. /// - /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// /// /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// + /// + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// /// /// 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 requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - /// - /// Config for thinking features. + /// + /// Optional. 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - global::Google.Gemini.Schema? responseSchema, + global::System.Collections.Generic.IList? responseModalities, + global::Google.Gemini.ImageConfig? imageConfig, global::Google.Gemini.SpeechConfig? speechConfig, - int? logprobs, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + float? temperature, + float? presencePenalty, + global::Google.Gemini.ThinkingConfig? thinkingConfig, global::Google.Gemini.ResponseFormatConfig? responseFormat, - global::System.Collections.Generic.IList? stopSequences, - object? responseJsonSchema, - global::Google.Gemini.TranslationConfig? translationConfig, + int? topK, + int? seed, + float? frequencyPenalty, + global::Google.Gemini.Schema? responseSchema, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, bool? responseLogprobs, + global::Google.Gemini.TranslationConfig? translationConfig, int? maxOutputTokens, - global::Google.Gemini.ImageConfig? imageConfig, - float? frequencyPenalty, - bool? enableEnhancedCivicAnswers, - int? seed, - string? responseMimeType, - float? presencePenalty, - float? temperature, - int? topK, float? topP, + int? logprobs, + object? responseJsonSchema, int? candidateCount, - global::System.Collections.Generic.IList? responseModalities, - global::Google.Gemini.ThinkingConfig? thinkingConfig) + global::System.Collections.Generic.IList? stopSequences, + bool? enableEnhancedCivicAnswers, + string? responseMimeType) { - this.ResponseSchema = responseSchema; + this.ResponseModalities = responseModalities; + this.ImageConfig = imageConfig; this.SpeechConfig = speechConfig; - this.Logprobs = logprobs; - this.MediaResolution = mediaResolution; + this.Temperature = temperature; + this.PresencePenalty = presencePenalty; + this.ThinkingConfig = thinkingConfig; this.ResponseFormat = responseFormat; - this.StopSequences = stopSequences; - this.ResponseJsonSchema = responseJsonSchema; - this.TranslationConfig = translationConfig; + this.TopK = topK; + this.Seed = seed; + this.FrequencyPenalty = frequencyPenalty; + this.ResponseSchema = responseSchema; + this.MediaResolution = mediaResolution; this.ResponseLogprobs = responseLogprobs; + this.TranslationConfig = translationConfig; this.MaxOutputTokens = maxOutputTokens; - this.ImageConfig = imageConfig; - this.FrequencyPenalty = frequencyPenalty; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.Seed = seed; - this.ResponseMimeType = responseMimeType; - this.PresencePenalty = presencePenalty; - this.Temperature = temperature; - this.TopK = topK; this.TopP = topP; + this.Logprobs = logprobs; + this.ResponseJsonSchema = responseJsonSchema; this.CandidateCount = candidateCount; - this.ResponseModalities = responseModalities; - this.ThinkingConfig = thinkingConfig; + this.StopSequences = stopSequences; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.ResponseMimeType = responseMimeType; } /// 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 80b477c7..73704ede 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -8,6 +8,18 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { + /// + /// Segment of the content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("segment")] + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } + + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] + public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } + /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// @@ -21,18 +33,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] public global::System.Collections.Generic.IList? RenderedParts { get; set; } - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] - public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } - - /// - /// Segment of the content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("segment")] - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -42,6 +42,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// + /// + /// Segment of the content. + /// + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// @@ -49,25 +55,19 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
/// Included only in responses /// - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// - /// - /// Segment of the content. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( - global::System.Collections.Generic.IList? confidenceScores, - global::System.Collections.Generic.IList? renderedParts, + global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, global::System.Collections.Generic.IList? groundingChunkIndices, - global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment) + global::System.Collections.Generic.IList? confidenceScores, + global::System.Collections.Generic.IList? renderedParts) { + this.Segment = segment; + this.GroundingChunkIndices = groundingChunkIndices; this.ConfidenceScores = confidenceScores; this.RenderedParts = renderedParts; - this.GroundingChunkIndices = groundingChunkIndices; - this.Segment = segment; } /// 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 84982784..5787bc83 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 +8,6 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaSegment { - /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } - - /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } - /// /// The index of a Part object within its parent Content object. /// @@ -32,6 +20,18 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { get; set; } + /// + /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// - /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. - /// - /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// /// /// The index of a Part object within its parent Content object. /// /// /// The text corresponding to the segment from the response. /// + /// + /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? startIndex, - int? endIndex, int? partIndex, - string? text) + string? text, + int? startIndex, + int? endIndex) { - this.StartIndex = startIndex; - this.EndIndex = endIndex; this.PartIndex = partIndex; this.Text = text; + this.StartIndex = startIndex; + this.EndIndex = endIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs index 09092edf..75d9d62b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingChunk { - /// - /// Chunk from image search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.Image? Image { get; set; } - - /// - /// Chunk from the web. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("web")] - public global::Google.Gemini.Web? Web { get; set; } - /// /// Chunk from context retrieved by the file search tool. /// @@ -32,6 +20,18 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("maps")] public global::Google.Gemini.Maps? Maps { get; set; } + /// + /// Chunk from the web. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("web")] + public global::Google.Gemini.Web? Web { get; set; } + + /// + /// Chunk from image search. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("image")] + public global::Google.Gemini.Image? Image { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GroundingChunk /// /// Initializes a new instance of the class. /// - /// - /// Chunk from image search. - /// - /// - /// Chunk from the web. - /// /// /// Chunk from context retrieved by the file search tool. /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// + /// + /// Chunk from the web. + /// + /// + /// Chunk from image search. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.Image? image, - global::Google.Gemini.Web? web, global::Google.Gemini.RetrievedContext? retrievedContext, - global::Google.Gemini.Maps? maps) + global::Google.Gemini.Maps? maps, + global::Google.Gemini.Web? web, + global::Google.Gemini.Image? image) { - this.Image = image; - this.Web = web; this.RetrievedContext = retrievedContext; this.Maps = maps; + this.Web = web; + this.Image = image; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs index 6d8d360e..b6243540 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingChunkCustomMetadata { - /// - /// The key of the metadata. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("key")] - public string? Key { get; set; } - - /// - /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } - /// /// Optional. The string value of the metadata. /// @@ -32,6 +20,18 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } + /// + /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } + + /// + /// The key of the metadata. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("key")] + public string? Key { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// The key of the metadata. - /// - /// - /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. - /// /// /// Optional. The string value of the metadata. /// /// /// A list of string values. /// + /// + /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. + /// + /// + /// The key of the metadata. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - string? key, - float? numericValue, string? stringValue, - global::Google.Gemini.GroundingChunkStringList? stringListValue) + global::Google.Gemini.GroundingChunkStringList? stringListValue, + float? numericValue, + string? key) { - this.Key = key; - this.NumericValue = numericValue; this.StringValue = stringValue; this.StringListValue = stringListValue; + this.NumericValue = numericValue; + this.Key = key; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs index 469db4c8..a090ea55 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -8,24 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingMetadata { - /// - /// Google search entry point. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } - - /// - /// Web search queries for the following-up web search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } - - /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { get; set; } - /// /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// @@ -44,12 +26,30 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + /// + /// Web search queries for the following-up web search. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] + public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + /// /// Image search queries used for grounding. /// [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } + /// + /// Google search entry point. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] + public string? GoogleMapsWidgetContextToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -59,15 +59,6 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// Google search entry point. - /// - /// - /// Web search queries for the following-up web search. - /// - /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. - /// /// /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// @@ -77,28 +68,37 @@ public sealed partial class GroundingMetadata /// /// Metadata related to retrieval in the grounding flow. /// + /// + /// Web search queries for the following-up web search. + /// /// /// Image search queries used for grounding. /// + /// + /// Google search entry point. + /// + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - global::System.Collections.Generic.IList? webSearchQueries, - string? googleMapsWidgetContextToken, global::System.Collections.Generic.IList? groundingChunks, global::System.Collections.Generic.IList? groundingSupports, global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::System.Collections.Generic.IList? imageSearchQueries) + global::System.Collections.Generic.IList? webSearchQueries, + global::System.Collections.Generic.IList? imageSearchQueries, + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + string? googleMapsWidgetContextToken) { - this.SearchEntryPoint = searchEntryPoint; - this.WebSearchQueries = webSearchQueries; - this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.GroundingChunks = groundingChunks; this.GroundingSupports = groundingSupports; this.RetrievalMetadata = retrievalMetadata; + this.WebSearchQueries = webSearchQueries; this.ImageSearchQueries = imageSearchQueries; + this.SearchEntryPoint = searchEntryPoint; + this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs index 3ec5c19d..420dac22 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class Hyperparameters { + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] + public int? EpochCount { get; set; } + /// /// 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. /// @@ -20,12 +26,6 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] public float? LearningRateMultiplier { get; set; } - /// - /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] - public int? EpochCount { get; set; } - /// /// 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. /// @@ -41,15 +41,15 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// /// /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// /// /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// - /// - /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. - /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// @@ -57,14 +57,14 @@ public sealed partial class Hyperparameters [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( + int? epochCount, float? learningRate, float? learningRateMultiplier, - int? epochCount, int? batchSize) { + this.EpochCount = epochCount; this.LearningRate = learningRate; this.LearningRateMultiplier = learningRateMultiplier; - this.EpochCount = epochCount; this.BatchSize = batchSize; } 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 7750ef4c..7f21751e 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 @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class ImageResponseFormat { + /// + /// Optional. The MIME type 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; } + /// /// Optional. The delivery mode for the image output. /// @@ -15,13 +22,6 @@ public sealed partial class ImageResponseFormat [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter))] public global::Google.Gemini.ImageResponseFormatDelivery? Delivery { get; set; } - /// - /// Optional. The size 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; } - /// /// Optional. The aspect ratio for the image output. /// @@ -30,11 +30,11 @@ 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,31 +45,31 @@ public sealed partial class ImageResponseFormat /// /// Initializes a new instance of the class. /// + /// + /// Optional. The MIME type of the image output. + /// /// /// Optional. The delivery mode for the image output. /// - /// - /// Optional. The size 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageResponseFormat( + global::Google.Gemini.ImageResponseFormatMimeType? mimeType, global::Google.Gemini.ImageResponseFormatDelivery? delivery, - global::Google.Gemini.ImageResponseFormatImageSize? imageSize, global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio, - global::Google.Gemini.ImageResponseFormatMimeType? mimeType) + global::Google.Gemini.ImageResponseFormatImageSize? imageSize) { + this.MimeType = mimeType; this.Delivery = delivery; - this.ImageSize = imageSize; this.AspectRatio = aspectRatio; - this.MimeType = mimeType; + this.ImageSize = imageSize; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index b5598045..963b5b19 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ImportFileRequest { - /// - /// Custom metadata to be associated with the file. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] public string? FileName { get; set; } + /// + /// Custom metadata to be associated with the file. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -35,12 +35,12 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// - /// - /// Custom metadata to be associated with the file. - /// /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// + /// + /// Custom metadata to be associated with the file. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -48,12 +48,12 @@ public sealed partial class ImportFileRequest [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( - global::System.Collections.Generic.IList? customMetadata, string? fileName, + global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.ChunkingConfig? chunkingConfig) { - this.CustomMetadata = customMetadata; this.FileName = fileName; + this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; } 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 21763257..c4006720 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 @@ -14,6 +14,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// The response to an `EmbedContentRequest`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.EmbedContentResponse? Response { get; set; } + /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -21,12 +27,6 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } - /// - /// The response to an `EmbedContentRequest`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.EmbedContentResponse? Response { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,24 +39,24 @@ public sealed partial class InlinedEmbedContentResponse /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// The response to an `EmbedContentRequest`. + /// /// /// Output only. The metadata associated with the request.
/// Included only in responses /// - /// - /// The response to an `EmbedContentRequest`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( global::Google.Gemini.Status? error, - object? metadata, - global::Google.Gemini.EmbedContentResponse? response) + global::Google.Gemini.EmbedContentResponse? response, + object? metadata) { this.Error = error; - this.Metadata = metadata; this.Response = response; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index 8b0a0b22..1eefda6a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class InlinedResponse { - /// - /// 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 metadata associated with the request.
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class InlinedResponse [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + /// /// 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`. /// @@ -36,13 +36,13 @@ public sealed partial class InlinedResponse /// /// Initializes a new instance of the class. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// /// /// 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). + /// /// /// 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`. /// @@ -50,12 +50,12 @@ public sealed partial class InlinedResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( - global::Google.Gemini.Status? error, object? metadata, + global::Google.Gemini.Status? error, global::Google.Gemini.GenerateContentResponse? response) { - this.Error = error; this.Metadata = metadata; + this.Error = error; this.Response = response; } 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 736a29fe..3d0f91ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputConfig { - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("requests")] - public global::Google.Gemini.InlinedRequests? Requests { get; set; } - /// /// The name of the `File` containing the input requests. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] public string? FileName { get; set; } + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("requests")] + public global::Google.Gemini.InlinedRequests? Requests { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputConfig /// /// Initializes a new instance of the class. /// - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// /// /// The name of the `File` containing the input requests. /// + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputConfig( - global::Google.Gemini.InlinedRequests? requests, - string? fileName) + string? fileName, + global::Google.Gemini.InlinedRequests? requests) { - this.Requests = requests; this.FileName = fileName; + this.Requests = requests; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs index 05a50bda..2ca5e4b2 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 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; } + /// + /// 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; } + /// /// 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 requests to be processed in the batch if provided as part of the batch creation request. - /// /// /// The name of the `File` containing the input requests. /// + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputEmbedContentConfig( - global::Google.Gemini.InlinedEmbedContentRequests? requests, - string? fileName) + string? fileName, + global::Google.Gemini.InlinedEmbedContentRequests? requests) { - this.Requests = requests; this.FileName = fileName; + this.Requests = requests; } /// 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 6a5dbdc2..7bff6270 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 { - /// - /// 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; } + /// + /// The returned corpora. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("corpora")] + public global::System.Collections.Generic.IList? Corpora { 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. /// - /// - /// 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. /// + /// + /// The returned corpora. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCorporaResponse( - global::System.Collections.Generic.IList? corpora, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? corpora) { - this.Corpora = corpora; this.NextPageToken = nextPageToken; + this.Corpora = corpora; } /// 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 b6386440..395682f1 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 { - /// - /// 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; } + /// + /// A list of operations that matches the specified filter in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("operations")] + public global::System.Collections.Generic.IList? Operations { get; set; } + /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// @@ -35,12 +35,12 @@ public sealed partial class ListOperationsResponse /// /// Initializes a new instance of the class. /// - /// - /// A list of operations that matches the specified filter in the request. - /// /// /// The standard List next-page token. /// + /// + /// A list of operations that matches the specified filter in the request. + /// /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// @@ -48,12 +48,12 @@ public sealed partial class ListOperationsResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( - global::System.Collections.Generic.IList? operations, string? nextPageToken, + global::System.Collections.Generic.IList? operations, global::System.Collections.Generic.IList? unreachable) { - this.Operations = operations; this.NextPageToken = nextPageToken; + this.Operations = operations; this.Unreachable = unreachable; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs index 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..1c8dd068 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class LogprobsResult { /// - /// Length = total number of decoding steps. + /// Sum of log probabilities for all tokens. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] - public global::System.Collections.Generic.IList? TopCandidates { get; set; } + [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. @@ -21,10 +21,10 @@ public sealed partial class LogprobsResult public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } /// - /// Sum of log probabilities for all tokens. + /// Length = total number of decoding steps. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] - public float? LogProbabilitySum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] + public global::System.Collections.Generic.IList? TopCandidates { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// - /// - /// Length = total number of decoding steps. + /// + /// Sum of log probabilities for all tokens. /// /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// - /// - /// Sum of log probabilities for all tokens. + /// + /// Length = total number of decoding steps. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( - global::System.Collections.Generic.IList? topCandidates, + float? logProbabilitySum, global::System.Collections.Generic.IList? chosenCandidates, - float? logProbabilitySum) + global::System.Collections.Generic.IList? topCandidates) { - this.TopCandidates = topCandidates; - this.ChosenCandidates = chosenCandidates; this.LogProbabilitySum = logProbabilitySum; + this.ChosenCandidates = chosenCandidates; + this.TopCandidates = topCandidates; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 6154061d..f52a493c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -14,18 +14,18 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] public int? TokenId { get; set; } - /// - /// The candidate's log probability. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] - public float? LogProbability { get; set; } - /// /// The candidate’s token string value. /// [global::System.Text.Json.Serialization.JsonPropertyName("token")] public string? Token { 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 /// @@ -38,23 +38,23 @@ public sealed partial class LogprobsResultCandidate /// /// The candidate’s token id value. /// - /// - /// The candidate's log probability. - /// /// /// The candidate’s token string value. /// + /// + /// The candidate's log probability. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( int? tokenId, - float? logProbability, - string? token) + string? token, + float? logProbability) { this.TokenId = tokenId; - this.LogProbability = logProbability; this.Token = token; + this.LogProbability = logProbability; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs index c294428e..197f4054 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class McpServer { - /// - /// A transport that can stream HTTP requests and responses. Next ID: 6 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] - public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } - /// /// The name of the MCPServer. /// [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// A transport that can stream HTTP requests and responses. Next ID: 6 + /// + [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] + public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class McpServer /// /// Initializes a new instance of the class. /// - /// - /// A transport that can stream HTTP requests and responses. Next ID: 6 - /// /// /// The name of the MCPServer. /// + /// + /// A transport that can stream HTTP requests and responses. Next ID: 6 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public McpServer( - global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport, - string? name) + string? name, + global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport) { - this.StreamableHttpTransport = streamableHttpTransport; this.Name = name; + this.StreamableHttpTransport = streamableHttpTransport; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs index 590cdae3..39f4adc5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Model { /// - /// Maximum number of input tokens allowed for this model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } - - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// 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("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` @@ -27,16 +21,16 @@ public sealed partial class Model public string? BaseModelId { get; set; } /// - /// A short description of the model. + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// Whether the model supports thinking. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { 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` @@ -45,22 +39,10 @@ public sealed partial class Model public string? Name { get; set; } /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } - - /// - /// 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. @@ -69,16 +51,22 @@ public sealed partial class Model public float? Temperature { get; set; } /// - /// The maximum temperature this model can use. + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { 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; } + + /// + /// Whether the model supports thinking. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } /// /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. @@ -86,6 +74,18 @@ public sealed partial class Model [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } + + /// + /// Maximum number of output tokens available for this model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -95,76 +95,76 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// Maximum number of input tokens allowed for this model. - /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// /// /// Required. The 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`. + /// /// /// A short description of the model. /// - /// - /// Whether the model supports thinking. - /// /// /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// - /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. - /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + /// The maximum temperature this model can use. /// /// /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// The maximum temperature this model can use. + /// + /// Maximum number of input tokens allowed for this 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. + /// + /// + /// Whether the model supports thinking. /// /// /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// + /// Maximum number of output tokens available for this model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - int? inputTokenLimit, - global::System.Collections.Generic.IList? supportedGenerationMethods, + float? topP, string? baseModelId, + global::System.Collections.Generic.IList? supportedGenerationMethods, string? description, - bool? thinking, string? name, + float? maxTemperature, + float? temperature, + int? inputTokenLimit, int? topK, + bool? thinking, + string? displayName, string? version, - float? topP, - float? temperature, - float? maxTemperature, - int? outputTokenLimit, - string? displayName) + int? outputTokenLimit) { - this.InputTokenLimit = inputTokenLimit; - this.SupportedGenerationMethods = supportedGenerationMethods; + this.TopP = topP; this.BaseModelId = baseModelId; + this.SupportedGenerationMethods = supportedGenerationMethods; this.Description = description; - this.Thinking = thinking; this.Name = name; + this.MaxTemperature = maxTemperature; + this.Temperature = temperature; + this.InputTokenLimit = inputTokenLimit; this.TopK = topK; + this.Thinking = thinking; + this.DisplayName = displayName; this.Version = version; - this.TopP = topP; - this.Temperature = temperature; - this.MaxTemperature = maxTemperature; this.OutputTokenLimit = outputTokenLimit; - this.DisplayName = displayName; } /// 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 e5ba4a30..75612d76 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 @@ -15,18 +15,18 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter))] public global::Google.Gemini.ModelStatusModelStage? ModelStage { get; set; } - /// - /// A message explaining the model status. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } - /// /// The time at which the model will be retired. /// [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] public string? RetirementTime { get; set; } + /// + /// A message explaining the model status. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class ModelStatus /// /// The stage of the underlying model. /// - /// - /// A message explaining the model status. - /// /// /// The time at which the model will be retired. /// + /// + /// A message explaining the model status. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( global::Google.Gemini.ModelStatusModelStage? modelStage, - string? message, - string? retirementTime) + string? retirementTime, + string? message) { this.ModelStage = modelStage; - this.Message = message; this.RetirementTime = retirementTime; + this.Message = message; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index b0b88a68..b0e6748b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -8,36 +8,36 @@ 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; } - /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } - /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. - /// - [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}`. /// [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } + /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// The 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; } + /// /// 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. - /// /// /// 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 server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// /// /// 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`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( - bool? done, object? metadata, - object? response, string? name, - global::Google.Gemini.Status? error) + bool? done, + global::Google.Gemini.Status? error, + object? response) { - this.Done = done; this.Metadata = metadata; - this.Response = response; this.Name = name; + this.Done = done; this.Error = error; + this.Response = response; } /// 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 477736d5..b88e41c3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs @@ -10,6 +10,25 @@ namespace Google.Gemini /// public sealed partial class Part { + /// + /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + [global::System.Obsolete("This property marked as deprecated.")] + public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } + + /// + /// Inline text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + + /// + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + /// /// 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. /// @@ -17,10 +36,10 @@ public sealed partial class Part public global::Google.Gemini.FunctionResponse? FunctionResponse { 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`. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } /// /// Optional. Indicates if the part is thought from the model. @@ -29,10 +48,10 @@ public sealed partial class Part public bool? Thought { get; set; } /// - /// Inline text. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. @@ -40,18 +59,6 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } - /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } - - /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } - /// /// 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. /// @@ -59,10 +66,10 @@ public sealed partial class Part public object? PartMetadata { get; set; } /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// 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("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. @@ -71,23 +78,16 @@ public sealed partial class Part public byte[]? ThoughtSignature { get; set; } /// - /// URI based data. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } - - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// - /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -98,71 +98,71 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// + /// + /// Inline text. + /// + /// + /// 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`. + /// /// /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// + /// URI based data. /// /// /// Optional. Indicates if the part is thought from the model. /// - /// - /// Inline text. + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. - /// - /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. - /// /// /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// /// /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - /// - /// URI based data. + /// + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( + string? text, + global::Google.Gemini.ToolResponse? toolResponse, global::Google.Gemini.FunctionResponse? functionResponse, - global::Google.Gemini.ToolCall? toolCall, + global::Google.Gemini.FileData? fileData, bool? thought, - string? text, + global::Google.Gemini.Blob? inlineData, global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.ExecutableCode? executableCode, - global::Google.Gemini.ToolResponse? toolResponse, object? partMetadata, - global::Google.Gemini.FunctionCall? functionCall, + global::Google.Gemini.ExecutableCode? executableCode, byte[]? thoughtSignature, - global::Google.Gemini.FileData? fileData, - global::Google.Gemini.Blob? inlineData) + global::Google.Gemini.ToolCall? toolCall, + global::Google.Gemini.FunctionCall? functionCall) { + this.Text = text; + this.ToolResponse = toolResponse; this.FunctionResponse = functionResponse; - this.ToolCall = toolCall; + this.FileData = fileData; this.Thought = thought; - this.Text = text; + this.InlineData = inlineData; this.CodeExecutionResult = codeExecutionResult; - this.ExecutableCode = executableCode; - this.ToolResponse = toolResponse; this.PartMetadata = partMetadata; - this.FunctionCall = functionCall; + this.ExecutableCode = executableCode; this.ThoughtSignature = thoughtSignature; - this.FileData = fileData; - this.InlineData = inlineData; + this.ToolCall = toolCall; + this.FunctionCall = functionCall; } /// 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 4190145b..3bca5d2c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs @@ -9,17 +9,11 @@ namespace Google.Gemini public sealed partial class Permission { /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] - public string? EmailAddress { get; set; } - - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses + /// Optional. Immutable. The type of the grantee. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [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 +23,17 @@ 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; } + + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -44,32 +44,32 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// - /// - /// Optional. Immutable. The 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. /// /// /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
/// Included only in responses /// - /// - /// Required. The role granted by this permission. - /// - /// - /// Optional. Immutable. The type of the grantee. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? emailAddress, - string? name, + global::Google.Gemini.PermissionGranteeType? granteeType, global::Google.Gemini.PermissionRole? role, - global::Google.Gemini.PermissionGranteeType? granteeType) + string? name, + string? emailAddress) { - this.EmailAddress = emailAddress; - this.Name = name; - this.Role = role; this.GranteeType = granteeType; + this.Role = role; + this.Name = name; + this.EmailAddress = emailAddress; } /// 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 93fe132f..b12ae35b 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ResponseFormatConfig { + /// + /// 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. /// @@ -20,12 +26,6 @@ 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; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ResponseFormatConfig /// /// Initializes a new instance of the class. /// + /// + /// Configuration for image output format. + /// /// /// Configuration for audio output format. /// /// /// Configuration for text output format. /// - /// - /// Configuration for image output format. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ResponseFormatConfig( + global::Google.Gemini.ImageResponseFormat? image, global::Google.Gemini.AudioResponseFormat? audio, - global::Google.Gemini.TextResponseFormat? text, - global::Google.Gemini.ImageResponseFormat? image) + global::Google.Gemini.TextResponseFormat? text) { + this.Image = image; this.Audio = audio; this.Text = text; - 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 a522d077..f57447cc 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 +9,16 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } /// - /// Optional. Title of the document. + /// Optional. User-provided metadata about the retrieved context. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} @@ -27,22 +27,22 @@ public sealed partial class RetrievedContext public string? MediaId { get; set; } /// - /// Optional. Text of the chunk. + /// Optional. Title of the document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. User-provided metadata about the retrieved context. + /// Optional. URI reference of the semantic retrieval document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// /// Optional. Page number of the retrieved context, if applicable. @@ -59,23 +59,23 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// - /// - /// Optional. URI reference of the semantic retrieval document. + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - /// - /// Optional. Title of the document. + /// + /// Optional. User-provided metadata about the retrieved context. /// /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// - /// - /// Optional. Text of the chunk. + /// + /// Optional. Title of the document. /// - /// - /// Optional. User-provided metadata about the retrieved context. + /// + /// Optional. URI reference of the semantic retrieval document. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// Optional. Text of the chunk. /// /// /// Optional. Page number of the retrieved context, if applicable. @@ -84,20 +84,20 @@ public sealed partial class RetrievedContext [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - string? uri, - string? title, + string? fileSearchStore, + global::System.Collections.Generic.IList? customMetadata, string? mediaId, + string? title, + string? uri, string? text, - global::System.Collections.Generic.IList? customMetadata, - string? fileSearchStore, int? pageNumber) { - this.Uri = uri; - this.Title = title; + this.FileSearchStore = fileSearchStore; + this.CustomMetadata = customMetadata; this.MediaId = mediaId; + this.Title = title; + this.Uri = uri; this.Text = text; - this.CustomMetadata = customMetadata; - this.FileSearchStore = fileSearchStore; this.PageNumber = pageNumber; } 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..8761eef3 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ReviewSnippet { - /// - /// The ID of the review snippet. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] - public string? ReviewId { get; set; } - /// /// A link that corresponds to the user review on Google Maps. /// @@ -26,6 +20,12 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// The ID of the review snippet. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] + public string? ReviewId { 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. /// - /// - /// The ID of the review snippet. - /// /// /// A link that corresponds to the user review on Google Maps. /// /// /// Title of the review. /// + /// + /// The ID of the review snippet. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( - string? reviewId, string? googleMapsUri, - string? title) + string? title, + string? reviewId) { - this.ReviewId = reviewId; this.GoogleMapsUri = googleMapsUri; this.Title = title; + this.ReviewId = reviewId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs index 1c981d0c..8a3dac69 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetySetting { - /// - /// Required. The category for this setting. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("category")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] - public global::Google.Gemini.SafetySettingCategory? Category { get; set; } - /// /// Required. Controls the probability threshold at which harm is blocked. /// @@ -22,6 +15,13 @@ public sealed partial class SafetySetting [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } + /// + /// Required. The category for this setting. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("category")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] + public global::Google.Gemini.SafetySettingCategory? Category { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -31,21 +31,21 @@ public sealed partial class SafetySetting /// /// Initializes a new instance of the class. /// - /// - /// Required. The category for this setting. - /// /// /// Required. Controls the probability threshold at which harm is blocked. /// + /// + /// Required. The category for this setting. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetySetting( - global::Google.Gemini.SafetySettingCategory? category, - global::Google.Gemini.SafetySettingThreshold? threshold) + global::Google.Gemini.SafetySettingThreshold? threshold, + global::Google.Gemini.SafetySettingCategory? category) { - this.Category = category; this.Threshold = threshold; + this.Category = category; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index 91a71f8d..d0c90ee8 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 @@ -9,17 +9,22 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Required. Data type. + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - [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("maximum")] + public double? Maximum { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + 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. The title of the schema. @@ -28,52 +33,53 @@ public sealed partial class Schema public string? Title { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// 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("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { 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. Indicates if the value may be null. + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { 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. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// /// Optional. The value should be validated against any (one or more) of the subschemas in the list. @@ -81,18 +87,6 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] public global::System.Collections.Generic.IList? AnyOf { get; set; } - /// - /// Optional. Maximum length of the Type.STRING - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } - - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } - /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// @@ -105,12 +99,6 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("required")] public global::System.Collections.Generic.IList? Required { get; set; } - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } - /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// @@ -118,28 +106,40 @@ public sealed partial class Schema public double? Minimum { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } + + /// + /// Optional. Maximum number of the properties for Type.OBJECT. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } + + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Required. Data type. + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// + /// Optional. Example of the object. Will only populated when the object is the root. /// /// /// Optional. The title of the schema. /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// 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. Data type. /// /// /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// + /// + /// Optional. Minimum number of the properties for Type.OBJECT. + /// /// /// Optional. Indicates if the value may be null. /// - /// - /// Optional. Maximum number of the properties for Type.OBJECT. - /// - /// - /// 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. Pattern of the Type.STRING to restrict a string to a regular expression. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. Properties of Type.OBJECT. /// /// /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - /// - /// Optional. Maximum length of the Type.STRING - /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. - /// /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// /// /// Optional. Required properties of Type.OBJECT. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING - /// - /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. - /// /// /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// + /// Optional. Maximum length of the Type.STRING + /// + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + /// + /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// + /// Optional. Maximum number of the properties for Type.OBJECT. + /// + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - global::Google.Gemini.SchemaType? type, - string? minItems, - string? title, - global::System.Collections.Generic.Dictionary? properties, double? maximum, + string? maxItems, + object? example, + string? title, + global::System.Collections.Generic.IList? propertyOrdering, + global::Google.Gemini.Schema? items, + global::Google.Gemini.SchemaType? type, string? format, + string? minProperties, bool? nullable, - string? maxProperties, - object? example, - global::System.Collections.Generic.IList? @enum, - string? maxItems, - global::System.Collections.Generic.IList? anyOf, - string? maxLength, string? pattern, + global::System.Collections.Generic.Dictionary? properties, + global::System.Collections.Generic.IList? anyOf, string? description, global::System.Collections.Generic.IList? required, - global::Google.Gemini.Schema? items, double? minimum, - string? minLength, - global::System.Collections.Generic.IList? propertyOrdering, object? @default, - string? minProperties) + string? maxLength, + global::System.Collections.Generic.IList? @enum, + string? minItems, + string? maxProperties, + string? minLength) { - this.Type = type; - this.MinItems = minItems; - this.Title = title; - this.Properties = properties; this.Maximum = maximum; + this.MaxItems = maxItems; + this.Example = example; + this.Title = title; + this.PropertyOrdering = propertyOrdering; + this.Items = items; + this.Type = type; this.Format = format; + this.MinProperties = minProperties; this.Nullable = nullable; - this.MaxProperties = maxProperties; - this.Example = example; - this.Enum = @enum; - this.MaxItems = maxItems; - this.AnyOf = anyOf; - this.MaxLength = maxLength; this.Pattern = pattern; + this.Properties = properties; + this.AnyOf = anyOf; this.Description = description; this.Required = required; - this.Items = items; this.Minimum = minimum; - this.MinLength = minLength; - this.PropertyOrdering = propertyOrdering; this.Default = @default; - this.MinProperties = minProperties; + this.MaxLength = maxLength; + this.Enum = @enum; + this.MinItems = minItems; + this.MaxProperties = maxProperties; + this.MinLength = minLength; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs index c68b5741..22a069a1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SearchEntryPoint { - /// - /// Optional. Web content snippet that can be embedded in a web page or an app webview. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("renderedContent")] - public string? RenderedContent { get; set; } - /// /// Optional. Base64 encoded JSON representing array of tuple. /// [global::System.Text.Json.Serialization.JsonPropertyName("sdkBlob")] public byte[]? SdkBlob { get; set; } + /// + /// Optional. Web content snippet that can be embedded in a web page or an app webview. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("renderedContent")] + public string? RenderedContent { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SearchEntryPoint /// /// Initializes a new instance of the class. /// - /// - /// Optional. Web content snippet that can be embedded in a web page or an app webview. - /// /// /// Optional. Base64 encoded JSON representing array of tuple. /// + /// + /// Optional. Web content snippet that can be embedded in a web page or an app webview. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchEntryPoint( - string? renderedContent, - byte[]? sdkBlob) + byte[]? sdkBlob, + string? renderedContent) { - this.RenderedContent = renderedContent; this.SdkBlob = sdkBlob; + this.RenderedContent = renderedContent; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs index 8890bdf2..db03bec1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class SemanticRetrieverChunk { /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] - public string? Chunk { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + public string? Source { get; set; } /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - public string? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] + public string? Chunk { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class SemanticRetrieverChunk /// /// Initializes a new instance of the class. /// - /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
- /// Included only in responses - /// /// /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// + /// + /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SemanticRetrieverChunk( - string? chunk, - string? source) + string? source, + string? chunk) { - this.Chunk = chunk; this.Source = source; + this.Chunk = chunk; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs index f9754c22..0a6833b4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SpeakerVoiceConfig { - /// - /// The configuration for the voice to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// /// Required. The name of the speaker to use. Should be the same as in the prompt. /// [global::System.Text.Json.Serialization.JsonPropertyName("speaker")] public string? Speaker { get; set; } + /// + /// The configuration for the voice to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SpeakerVoiceConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the voice to use. - /// /// /// Required. The name of the speaker to use. Should be the same as in the prompt. /// + /// + /// The configuration for the voice to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeakerVoiceConfig( - global::Google.Gemini.VoiceConfig? voiceConfig, - string? speaker) + string? speaker, + global::Google.Gemini.VoiceConfig? voiceConfig) { - this.VoiceConfig = voiceConfig; this.Speaker = speaker; + this.VoiceConfig = voiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index d6775134..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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Status { - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("details")] - public global::System.Collections.Generic.IList? Details { get; set; } - /// /// 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. /// [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("details")] + public global::System.Collections.Generic.IList? Details { get; set; } + /// /// The status code, which should be an enum value of google.rpc.Code. /// @@ -35,12 +35,12 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// /// /// 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. /// @@ -48,12 +48,12 @@ public sealed partial class Status [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( - global::System.Collections.Generic.IList? details, string? message, + global::System.Collections.Generic.IList? details, int? code) { - this.Details = details; 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 b0998e94..5f8dd339 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class StreamableHttpTransport { /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// - [global::System.Text.Json.Serialization.JsonPropertyName("headers")] - public global::System.Collections.Generic.Dictionary? Headers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("url")] + public string? Url { get; set; } /// - /// HTTP timeout for regular operations. + /// Timeout for SSE read operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] - public string? Timeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] + public string? SseReadTimeout { get; set; } /// /// Whether to close the client session when the transport closes. @@ -27,16 +27,16 @@ public sealed partial class StreamableHttpTransport public bool? TerminateOnClose { get; set; } /// - /// Timeout for SSE read operations. + /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] - public string? SseReadTimeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("headers")] + public global::System.Collections.Generic.Dictionary? Headers { get; set; } /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// HTTP timeout for regular operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("url")] - public string? Url { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] + public string? Timeout { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class StreamableHttpTransport /// /// Initializes a new instance of the class. /// - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// - /// - /// HTTP timeout for regular operations. + /// + /// Timeout for SSE read operations. /// /// /// Whether to close the client session when the transport closes. /// - /// - /// Timeout for SSE read operations. + /// + /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// - /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// + /// HTTP timeout for regular operations. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - global::System.Collections.Generic.Dictionary? headers, - string? timeout, - bool? terminateOnClose, + string? url, string? sseReadTimeout, - string? url) + bool? terminateOnClose, + global::System.Collections.Generic.Dictionary? headers, + string? timeout) { + this.Url = url; + this.SseReadTimeout = sseReadTimeout; + this.TerminateOnClose = terminateOnClose; this.Headers = headers; this.Timeout = timeout; - this.TerminateOnClose = terminateOnClose; - this.SseReadTimeout = sseReadTimeout; - this.Url = url; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TextResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TextResponseFormat.g.cs index d13926d0..e98438a9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TextResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TextResponseFormat.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class TextResponseFormat { + /// + /// Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("schema")] + public object? Schema { get; set; } + /// /// Optional. The MIME type of the text output. /// @@ -15,12 +21,6 @@ public sealed partial class TextResponseFormat [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter))] public global::Google.Gemini.TextResponseFormatMimeType? MimeType { get; set; } - /// - /// Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("schema")] - public object? Schema { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class TextResponseFormat /// /// Initializes a new instance of the class. /// - /// - /// Optional. The MIME type of the text output. - /// /// /// Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON. /// + /// + /// Optional. The MIME type of the text output. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TextResponseFormat( - global::Google.Gemini.TextResponseFormatMimeType? mimeType, - object? schema) + object? schema, + global::Google.Gemini.TextResponseFormatMimeType? mimeType) { - this.MimeType = mimeType; this.Schema = schema; + this.MimeType = mimeType; } /// 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 16bbd030..fe471aeb 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 +8,12 @@ namespace Google.Gemini /// public sealed partial class ThinkingConfig { + /// + /// The number of thoughts tokens that the model should generate. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] + public int? ThinkingBudget { get; set; } + /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// @@ -21,12 +27,6 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } - /// - /// The number of thoughts tokens that the model should generate. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] - public int? ThinkingBudget { 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. /// + /// + /// The number of thoughts tokens that the model should generate. + /// /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. 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. /// - /// - /// The number of thoughts tokens that the model should generate. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( + int? thinkingBudget, bool? includeThoughts, - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, - int? thinkingBudget) + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) { + this.ThinkingBudget = thinkingBudget; this.IncludeThoughts = includeThoughts; this.ThinkingLevel = thinkingLevel; - this.ThinkingBudget = thinkingBudget; } /// 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 e0999197..9788d5d7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// Computer Use tool type. + /// Optional. MCP Servers to connect to. /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] + public global::System.Collections.Generic.IList? McpServers { get; set; } /// /// 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. @@ -27,10 +27,10 @@ public sealed partial class Tool public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// Tool to retrieve public web data for grounding, powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. @@ -45,22 +45,22 @@ public sealed partial class Tool public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// - /// Optional. MCP Servers to connect to. + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] - public global::System.Collections.Generic.IList? McpServers { get; set; } + [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. + /// Computer Use tool type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] - public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// Tool 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("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { 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 @@ -71,8 +71,8 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// Computer Use tool type. + /// + /// 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. @@ -80,8 +80,8 @@ public sealed partial class Tool /// /// Tool to support URL context retrieval. /// - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// + /// Tool to retrieve public web data for grounding, powered by Google. /// /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. @@ -89,38 +89,38 @@ public sealed partial class Tool /// /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - /// - /// Optional. MCP Servers to connect to. - /// - /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// /// /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// + /// + /// Computer Use tool type. + /// + /// + /// 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.ComputerUse? computerUse, + global::System.Collections.Generic.IList? mcpServers, global::System.Collections.Generic.IList? functionDeclarations, global::Google.Gemini.UrlContext? urlContext, - global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, global::Google.Gemini.FileSearch? fileSearch, global::Google.Gemini.GoogleMaps? googleMaps, - global::System.Collections.Generic.IList? mcpServers, - global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.GoogleSearch? googleSearch) + global::Google.Gemini.GoogleSearch? googleSearch, + global::Google.Gemini.ComputerUse? computerUse, + global::Google.Gemini.CodeExecution? codeExecution) { - this.ComputerUse = computerUse; + this.McpServers = mcpServers; this.FunctionDeclarations = functionDeclarations; this.UrlContext = urlContext; - this.CodeExecution = codeExecution; + this.GoogleSearchRetrieval = googleSearchRetrieval; this.FileSearch = fileSearch; this.GoogleMaps = googleMaps; - this.McpServers = mcpServers; - this.GoogleSearchRetrieval = googleSearchRetrieval; this.GoogleSearch = googleSearch; + this.ComputerUse = computerUse; + this.CodeExecution = codeExecution; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs index dc3026af..6da5f988 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs @@ -15,18 +15,18 @@ public sealed partial class ToolCall [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter))] public global::Google.Gemini.ToolCallToolType? ToolType { get; set; } - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class ToolCall /// /// Required. The type of tool that was called. /// - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( global::Google.Gemini.ToolCallToolType? toolType, - string? id, - object? args) + object? args, + string? id) { this.ToolType = toolType; - this.Id = id; this.Args = args; + this.Id = id; } /// 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 623a5550..247efaa6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ToolConfig { /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// Configuration for specifying function calling behavior. /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] - public bool? IncludeServerSideToolInvocations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] + public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } /// /// Retrieval config. @@ -21,10 +21,10 @@ public sealed partial class ToolConfig public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } /// - /// Configuration for specifying function calling behavior. + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] - public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] + public bool? IncludeServerSideToolInvocations { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// + /// Configuration for specifying function calling behavior. /// /// /// Retrieval config. /// - /// - /// Configuration for specifying function calling behavior. + /// + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - bool? includeServerSideToolInvocations, + global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, global::Google.Gemini.RetrievalConfig? retrievalConfig, - global::Google.Gemini.FunctionCallingConfig? functionCallingConfig) + bool? includeServerSideToolInvocations) { - this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; - this.RetrievalConfig = retrievalConfig; this.FunctionCallingConfig = functionCallingConfig; + this.RetrievalConfig = retrievalConfig; + this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index 2ee7f407..edda00c9 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 tool response. + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { 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 identifier of the tool call this response is for. @@ -21,11 +22,10 @@ public sealed partial class ToolResponse public string? Id { get; set; } /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// Optional. The tool response. /// - [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("response")] + public object? Response { 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 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. /// - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// + /// Optional. The tool response. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( - object? response, + global::Google.Gemini.ToolResponseToolType? toolType, string? id, - global::Google.Gemini.ToolResponseToolType? toolType) + object? response) { - this.Response = response; - this.Id = id; this.ToolType = toolType; + this.Id = id; + this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs index 9487be42..5586af7c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class TranslationConfig { - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("echoTargetLanguage")] - public bool? EchoTargetLanguage { get; set; } - /// /// Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr"). /// [global::System.Text.Json.Serialization.JsonPropertyName("targetLanguageCode")] public string? TargetLanguageCode { get; set; } + /// + /// 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("echoTargetLanguage")] + public bool? EchoTargetLanguage { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class TranslationConfig /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr"). /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TranslationConfig( - bool? echoTargetLanguage, - string? targetLanguageCode) + string? targetLanguageCode, + bool? echoTargetLanguage) { - this.EchoTargetLanguage = echoTargetLanguage; this.TargetLanguageCode = targetLanguageCode; + this.EchoTargetLanguage = echoTargetLanguage; } /// 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 52075d4e..2146a950 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 @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { get; set; } + + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// /// Tuned model as a source for training a new model. @@ -21,10 +27,11 @@ public sealed partial class TunedModel public global::Google.Gemini.TunedModelSource? TunedModelSource { 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. + /// 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. The state of the tuned model.
@@ -34,12 +41,6 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] public global::Google.Gemini.TunedModelState? State { get; set; } - /// - /// Tuning tasks that create tuned models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { 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. /// @@ -53,10 +54,16 @@ public sealed partial class TunedModel public string? DisplayName { get; set; } /// - /// Optional. List of project numbers that have read access to the tuned model. + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + + /// + /// Tuning tasks that create tuned models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// /// Output only. The timestamp when this model was updated.
@@ -65,12 +72,6 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } - /// /// Optional. A short description of this model. /// @@ -78,18 +79,17 @@ public sealed partial class TunedModel public string? Description { get; set; } /// - /// Output only. The timestamp when this model was created.
- /// Included only in responses + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Output only. The timestamp when this model was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -100,80 +100,80 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Optional. 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. List of project numbers that have read access to the tuned model. /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// 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 state of the tuned model.
/// Included only in responses /// - /// - /// Tuning tasks that create tuned models. - /// /// /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Output only. The timestamp when this model was updated.
/// Included only in responses /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// /// /// 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. + /// /// /// Output only. The timestamp when this model was created.
/// Included only in responses /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - float? topP, + string? baseModel, + global::System.Collections.Generic.IList? readerProjectNumbers, global::Google.Gemini.TunedModelSource? tunedModelSource, - int? topK, + string? name, global::Google.Gemini.TunedModelState? state, - global::Google.Gemini.TuningTask? tuningTask, float? temperature, string? displayName, - global::System.Collections.Generic.IList? readerProjectNumbers, + int? topK, + global::Google.Gemini.TuningTask? tuningTask, string? updateTime, - string? baseModel, string? description, - string? createTime, - string? name) + float? topP, + string? createTime) { - this.TopP = topP; + this.BaseModel = baseModel; + this.ReaderProjectNumbers = readerProjectNumbers; this.TunedModelSource = tunedModelSource; - this.TopK = topK; + this.Name = name; this.State = state; - this.TuningTask = tuningTask; this.Temperature = temperature; this.DisplayName = displayName; - this.ReaderProjectNumbers = readerProjectNumbers; + this.TopK = topK; + this.TuningTask = tuningTask; this.UpdateTime = updateTime; - this.BaseModel = baseModel; this.Description = description; + this.TopP = topP; this.CreateTime = createTime; - this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index 7241cadd..5c5e2375 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class TuningSnapshot { /// - /// Output only. The timestamp when this metric was computed.
+ /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] - public string? ComputeTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] + public float? MeanLoss { get; set; } /// /// Output only. The tuning step.
@@ -30,11 +30,11 @@ public sealed partial class TuningSnapshot public int? Epoch { get; set; } /// - /// Output only. The mean loss of the training examples for this step.
+ /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] - public float? MeanLoss { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,8 +45,8 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The timestamp when this metric was computed.
+ /// + /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// /// @@ -57,23 +57,23 @@ public sealed partial class TuningSnapshot /// Output only. The epoch this step was part of.
/// Included only in responses /// - /// - /// Output only. The mean loss of the training examples for this step.
+ /// + /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - string? computeTime, + float? meanLoss, int? step, int? epoch, - float? meanLoss) + string? computeTime) { - this.ComputeTime = computeTime; + this.MeanLoss = meanLoss; this.Step = step; this.Epoch = epoch; - this.MeanLoss = meanLoss; + this.ComputeTime = computeTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index 143c2cdc..280fa8dd 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class TuningTask { - /// - /// Dataset for training or validation. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] - public global::Google.Gemini.Dataset? TrainingData { get; set; } - /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// @@ -27,6 +21,12 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] public global::System.Collections.Generic.IList? Snapshots { get; set; } + /// + /// Dataset for training or validation. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] + public global::Google.Gemini.Dataset? TrainingData { get; set; } + /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses @@ -50,9 +50,6 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// - /// - /// Dataset for training or validation. - /// /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// @@ -60,6 +57,9 @@ public sealed partial class TuningTask /// Output only. Metrics collected during tuning.
/// Included only in responses /// + /// + /// Dataset for training or validation. + /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses @@ -72,15 +72,15 @@ public sealed partial class TuningTask [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( - global::Google.Gemini.Dataset? trainingData, global::Google.Gemini.Hyperparameters? hyperparameters, global::System.Collections.Generic.IList? snapshots, + global::Google.Gemini.Dataset? trainingData, string? startTime, string? completeTime) { - this.TrainingData = trainingData; this.Hyperparameters = hyperparameters; this.Snapshots = snapshots; + this.TrainingData = trainingData; 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 16dfc336..bd79b086 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class UploadToFileSearchStoreRequest { /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] - public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } - - /// - /// Custom metadata to be associated with the data. + /// Optional. Display name of the created document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. @@ -27,10 +21,16 @@ public sealed partial class UploadToFileSearchStoreRequest public string? MimeType { get; set; } /// - /// Optional. Display name of the created document. + /// Custom metadata to be associated with the data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] + public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - /// - /// Custom metadata to be associated with the data. + /// + /// Optional. Display name of the created document. /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// - /// - /// Optional. Display name of the created document. + /// + /// Custom metadata to be associated with the data. + /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - global::Google.Gemini.ChunkingConfig? chunkingConfig, - global::System.Collections.Generic.IList? customMetadata, + string? displayName, string? mimeType, - string? displayName) + global::System.Collections.Generic.IList? customMetadata, + global::Google.Gemini.ChunkingConfig? chunkingConfig) { - this.ChunkingConfig = chunkingConfig; - this.CustomMetadata = customMetadata; - this.MimeType = mimeType; this.DisplayName = displayName; + this.MimeType = mimeType; + this.CustomMetadata = customMetadata; + this.ChunkingConfig = chunkingConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs index 92ed5e03..8be9fd58 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class UrlMetadata { - /// - /// Retrieved url by the tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievedUrl")] - public string? RetrievedUrl { get; set; } - /// /// Status of the url retrieval. /// @@ -21,6 +15,12 @@ public sealed partial class UrlMetadata [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter))] public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? UrlRetrievalStatus { get; set; } + /// + /// Retrieved url by the tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievedUrl")] + public string? RetrievedUrl { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class UrlMetadata /// /// Initializes a new instance of the class. /// - /// - /// Retrieved url by the tool. - /// /// /// Status of the url retrieval. /// + /// + /// Retrieved url by the tool. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UrlMetadata( - string? retrievedUrl, - global::Google.Gemini.UrlMetadataUrlRetrievalStatus? urlRetrievalStatus) + global::Google.Gemini.UrlMetadataUrlRetrievalStatus? urlRetrievalStatus, + string? retrievedUrl) { - this.RetrievedUrl = retrievedUrl; this.UrlRetrievalStatus = urlRetrievalStatus; + this.RetrievedUrl = retrievedUrl; } /// 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 8b895e03..95bf7735 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class UsageMetadata { - /// - /// Total number of tokens across all the generated response candidates. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } - /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -21,19 +15,6 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } - /// - /// Output only. Number of tokens of thoughts for thinking models.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] - public int? ThoughtsTokenCount { get; set; } - - /// - /// Total token count for the generation request (prompt + thoughts + response candidates). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { get; set; } - /// /// Output only. Service tier of the request.
/// Included only in responses @@ -42,12 +23,6 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter))] public global::Google.Gemini.UsageMetadataServiceTier? ServiceTier { get; set; } - /// - /// Number of tokens in the cached part of the prompt (the cached content) - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } - /// /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses @@ -56,11 +31,29 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// - /// Output only. List of modalities that were returned in the response.
+ /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } + + /// + /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } + + /// + /// Total token count for the generation request (prompt + thoughts + response candidates). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } + + /// + /// Number of tokens in the cached part of the prompt (the cached content) + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. List of modalities of the cached content in the request input.
@@ -70,17 +63,24 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// Total number of tokens across all the generated response candidates. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + + /// + /// Output only. Number of tokens of thoughts for thinking models.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] + public int? ThoughtsTokenCount { get; set; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -105,44 +105,44 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Total number of tokens across all the generated response candidates. - /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Output only. Number of tokens of thoughts for thinking models.
- /// Included only in responses - /// - /// - /// Total token count for the generation request (prompt + thoughts + response candidates). - /// /// /// Output only. Service tier of the request.
/// Included only in responses /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) - /// /// /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - /// - /// Output only. List of modalities that were returned in the response.
+ /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + /// + /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// + /// + /// Total token count for the generation request (prompt + thoughts + response candidates). + /// + /// + /// Number of tokens in the cached part of the prompt (the cached content) + /// /// /// Output only. List of modalities of the cached content in the request input.
/// 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. Number of tokens present in tool-use prompt(s).
+ /// + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses + /// + /// + /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// /// @@ -157,31 +157,31 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - int? candidatesTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - int? thoughtsTokenCount, - int? totalTokenCount, global::Google.Gemini.UsageMetadataServiceTier? serviceTier, - int? cachedContentTokenCount, global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - global::System.Collections.Generic.IList? candidatesTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, int? promptTokenCount, int? toolUsePromptTokenCount, + int? totalTokenCount, + int? cachedContentTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, + int? candidatesTokenCount, + global::System.Collections.Generic.IList? candidatesTokensDetails, + int? thoughtsTokenCount, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.CandidatesTokenCount = candidatesTokenCount; this.PromptTokensDetails = promptTokensDetails; - this.ThoughtsTokenCount = thoughtsTokenCount; - this.TotalTokenCount = totalTokenCount; this.ServiceTier = serviceTier; - this.CachedContentTokenCount = cachedContentTokenCount; this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.CandidatesTokensDetails = candidatesTokensDetails; - this.CacheTokensDetails = cacheTokensDetails; this.PromptTokenCount = promptTokenCount; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; + this.TotalTokenCount = totalTokenCount; + this.CachedContentTokenCount = cachedContentTokenCount; + this.CacheTokensDetails = cacheTokensDetails; + this.CandidatesTokenCount = candidatesTokenCount; + this.CandidatesTokensDetails = candidatesTokensDetails; + this.ThoughtsTokenCount = thoughtsTokenCount; 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 681e8195..7997b378 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs @@ -10,11 +10,11 @@ namespace Google.Gemini public sealed partial class VideoMetadata { /// - /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. + /// Optional. The end offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fps")] + [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public double? Fps { get; set; } + public string? EndOffset { get; set; } /// /// Optional. The start offset of the video. @@ -24,11 +24,11 @@ public sealed partial class VideoMetadata public string? StartOffset { get; set; } /// - /// Optional. The end offset of the video. + /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("fps")] [global::System.Obsolete("This property marked as deprecated.")] - public string? EndOffset { get; set; } + public double? Fps { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -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 end offset of the video. /// /// /// 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? endOffset, string? startOffset, - string? endOffset) + double? fps) { - this.Fps = fps; - this.StartOffset = startOffset; this.EndOffset = endOffset; + this.StartOffset = startOffset; + this.Fps = fps; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 9a017f25..804b26d0 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,34 +11,19 @@ } ], "paths": { - "/tunedModels": { + "/fileSearchStores/{fileSearchStoresId}": { "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "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.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -48,62 +33,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/FileSearchStore" } } } } } }, - "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "tunedModelId", + "name": "force", "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", "schema": { - "type": "string" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } + "type": "boolean" } - } - } - } - }, - "/tunedModels/{tunedModelsId}": { - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", - "parameters": [ + }, { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -119,36 +75,17 @@ } } } - }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } - } - ], + } + }, + "/fileSearchStores": { + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -159,7 +96,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -167,17 +104,24 @@ } }, "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -187,7 +131,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -195,19 +139,19 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "/fileSearchStores/{fileSearchStoresId}:importFile": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -215,7 +159,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -234,31 +178,30 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", @@ -273,121 +216,81 @@ } } }, - "/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}/documents/{documentsId}": { + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "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": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Document" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + }, + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string" + } + }, + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" - } - } - } - } - } - } - }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -395,33 +298,15 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { + "/fileSearchStores/{fileSearchStoresId}/documents": { "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 all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", "schema": { "type": "integer", "format": "int32" @@ -430,17 +315,19 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -450,7 +337,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -458,13 +345,13 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -472,13 +359,13 @@ } }, { - "name": "operationsId", + "name": "fileSearchStoresId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -496,19 +383,19 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { + "/models/{modelsId}:asyncBatchEmbedContent": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { - "name": "tunedModelsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -516,7 +403,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -527,42 +414,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/models/{modelsId}": { "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `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": "modelsId", "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 model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -572,7 +444,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Model" } } } @@ -580,36 +452,19 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + "/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": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "modelsId", "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/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -617,7 +472,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -628,33 +483,39 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, + } + }, + "/models": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "type": "string" } } ], @@ -664,43 +525,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListModelsResponse" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + } + }, + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -708,36 +572,38 @@ } } }, - "/generatedFiles": { - "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -745,37 +611,38 @@ } } }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + "/models/{modelsId}:batchEmbedContents": { + "post": { + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "generatedFilesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -783,65 +650,38 @@ } } }, - "/corpora/{corporaId}": { - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "/models/{modelsId}:embedContent": { + "post": { + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "corporaId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentRequest" } } } - } - }, - "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" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -849,50 +689,27 @@ } } }, - "/corpora": { - "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "/models/{modelsId}:countTokens": { + "post": { + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" - } - } - } - } - } - }, - "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CountTokensRequest" } } } @@ -903,7 +720,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -911,10 +728,10 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { + "/models/{modelsId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "operationId": "models.operations.get", "parameters": [ { "name": "operationsId", @@ -925,13 +742,13 @@ } }, { - "name": "corporaId", + "name": "modelsId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], @@ -949,15 +766,33 @@ } } }, - "/corpora/{corporaId}/permissions": { + "/models/{modelsId}/operations": { "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -966,19 +801,17 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" + "type": "boolean" } } ], @@ -988,25 +821,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}:generateContent": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1014,7 +849,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1025,7 +860,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1033,72 +868,56 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "permissionsId", + "name": "tunedModelsId", "in": "path", "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" - } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + } + }, + "/tunedModels": { + "post": { + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", + "name": "tunedModelId", "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], @@ -1106,7 +925,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1117,7 +936,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } @@ -1125,25 +944,32 @@ } }, "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { "type": "string" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -1153,7 +979,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } @@ -1161,47 +987,58 @@ } } }, - "/files/{filesId}": { - "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "filesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}": { "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "filesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1217,79 +1054,36 @@ } } } - } - }, - "/files": { - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + }, + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListFilesResponse" - } - } - } - } - } - }, - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CreateFileRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CreateFileResponse" - } - } - } - } - } - } - }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1300,46 +1094,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/dynamic/{dynamicId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", + }, + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { - "name": "dynamicId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1347,19 +1130,19 @@ } } }, - "/dynamic/{dynamicId}:streamGenerateContent": { + "/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": "dynamic.streamGenerateContent", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { - "name": "dynamicId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1391,19 +1174,19 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { + "/tunedModels/{tunedModelsId}:transferOwnership": { "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "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": "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 resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1411,7 +1194,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -1422,7 +1205,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -1430,26 +1213,27 @@ } } }, - "/models": { + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1459,179 +1243,78 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models/{modelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], - "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": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } + "type": "string" } - } - } - } - }, - "/models/{modelsId}:countTokens": { - "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", - "parameters": [ + }, { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CountTokensRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/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", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "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" - } - } + "type": "string" } - } - } - } - }, - "/models/{modelsId}:embedContent": { - "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", - "parameters": [ + }, { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "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/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" - } - } + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } - } - } - } - }, - "/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}`.", + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "format": "google-fieldmask" } } ], @@ -1639,7 +1322,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1650,7 +1333,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } @@ -1658,58 +1341,64 @@ } } }, - "/models/{modelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + "/tunedModels/{tunedModelsId}/permissions": { + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { - "name": "modelsId", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } } } - } - }, - "/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", + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "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}`.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1717,7 +1406,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1728,7 +1417,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } @@ -1736,10 +1425,10 @@ } } }, - "/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", @@ -1750,13 +1439,13 @@ } }, { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } }, { @@ -1799,13 +1488,13 @@ } } }, - "/models/{modelsId}/operations/{operationsId}": { + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -1813,13 +1502,13 @@ } }, { - "name": "modelsId", + "name": "operationsId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -1837,6 +1526,68 @@ } } }, + "/cachedContents": { + "post": { + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + } + } + }, + "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": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListCachedContentsResponse" + } + } + } + } + } + } + }, "/cachedContents/{cachedContentsId}": { "patch": { "description": "Updates CachedContent resource (only expiration is updatable).", @@ -1941,15 +1692,15 @@ } } }, - "/cachedContents": { + "/files": { "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { "type": "integer", "format": "int32" @@ -1958,7 +1709,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "description": "Optional. A page token from a previous `ListFiles` call.", "schema": { "type": "string" } @@ -1970,7 +1721,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/ListFilesResponse" } } } @@ -1978,13 +1729,13 @@ } }, "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", + "description": "Creates a `File`.", + "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/CreateFileRequest" } } } @@ -1995,7 +1746,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -2003,81 +1754,47 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + "/files/{filesId}": { + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "fileSearchStoresId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^files/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/File" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", "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": "filesId", + "in": "path", + "required": true, + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^files/[^/]+$" } } ], @@ -2087,7 +1804,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -2095,47 +1812,53 @@ } } }, - "/batches/{batchesId}": { - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be deleted.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "/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/Empty" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } } } - }, + } + }, + "/generatedFiles": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "schema": { + "type": "string" } } ], @@ -2145,7 +1868,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } @@ -2153,19 +1876,27 @@ } } }, - "/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", + "/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": "batchesId", + "name": "operationsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "schema": { + "type": "string" + } + }, + { + "name": "generatedFilesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -2175,7 +1906,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -2231,47 +1962,29 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "/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": "batchesId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", "pattern": "^batches/[^/]+$" } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/Empty" } } } @@ -2279,27 +1992,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + "/batches/{batchesId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "fileSearchStoresId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -2309,25 +2014,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "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": "fileSearchStoresId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -2337,7 +2042,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Empty" } } } @@ -2345,15 +2050,23 @@ } } }, - "/fileSearchStores": { + "/batches": { "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -2362,10 +2075,18 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" + } } ], "responses": { @@ -2374,21 +2095,44 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, - "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", + } + }, + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -2399,7 +2143,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -2407,19 +2151,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { + "/dynamic/{dynamicId}:generateContent": { "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -2427,7 +2171,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2438,7 +2182,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2446,37 +2190,43 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "/dynamic/{dynamicId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "dynamicId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$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": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2484,97 +2234,79 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "post": { + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { "name": "fileSearchStoresId", "in": "path", "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } } } - }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + } + }, + "/corpora": { + "post": { + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Corpus" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents": { + }, "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.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. 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" @@ -2583,19 +2315,39 @@ { "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, 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" } - }, - { - "name": "fileSearchStoresId", + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListCorporaResponse" + } + } + } + } + } + } + }, + "/corpora/{corporaId}": { + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", + "parameters": [ + { + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -2605,7 +2357,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/Corpus" + } + } + } + } + } + }, + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", + "parameters": [ + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" } } } @@ -2613,10 +2401,10 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "operationId": "corpora.operations.get", "parameters": [ { "name": "operationsId", @@ -2627,13 +2415,13 @@ } }, { - "name": "fileSearchStoresId", + "name": "corporaId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -2650,630 +2438,607 @@ } } } - } - }, - "components": { - "schemas": { - "ThinkingConfig": { - "type": "object", - "description": "Config for thinking features.", - "properties": { - "includeThoughts": { - "type": "boolean", - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." + }, + "/corpora/{corporaId}/permissions": { + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.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" + } }, - "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.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." - ], - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ], - "type": "string" + { + "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" + } }, - "thinkingBudget": { - "description": "The number of thoughts tokens that the model should generate.", - "type": "integer", - "format": "int32" + { + "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": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListPermissionsResponse" + } + } + } } } }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", - "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" - }, - "semanticRetrieverChunk": { - "$ref": "#/components/schemas/SemanticRetrieverChunk", - "description": "Identifier for a `Chunk` fetched via Semantic Retriever." + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", + "parameters": [ + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } } }, - "type": "object" - }, - "ListDocumentsResponse": { - "type": "object", - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", - "properties": { - "documents": { - "type": "array", - "description": "The returned `Document`s.", - "items": { - "$ref": "#/components/schemas/Document" + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } } - }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } } - }, - "GenerateContentRequest": { - "type": "object", - "description": "Request to generate a completion from the model.", - "properties": { - "generationConfig": { - "$ref": "#/components/schemas/GenerationConfig", - "description": "Optional. Configuration options for model generation and outputs." - }, - "contents": { - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "items": { - "$ref": "#/components/schemas/Content" - }, - "type": "array" - }, - "tools": { - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "type": "array" - }, - "cachedContent": { - "type": "string", - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`" - }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "safetySettings": { - "type": "array", - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", - "items": { - "$ref": "#/components/schemas/SafetySetting" + } + }, + "/corpora/{corporaId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", + "parameters": [ + { + "name": "permissionsId", + "in": "path", + "required": true, + "schema": { + "type": "string" } }, - "store": { - "type": "boolean", - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } }, - "serviceTier": { - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], - "type": "string", - "description": "Optional. The service tier of the request.", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ] - }, - "toolConfig": { - "$ref": "#/components/schemas/ToolConfig", - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example." - }, - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" + } } - } - }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.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 `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." - }, - "inlinedResponses": { - "readOnly": true, - "$ref": "#/components/schemas/InlinedResponses", - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } } }, - "type": "object" - }, - "CountTokensRequest": { - "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": { - "type": "array", - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", - "items": { - "$ref": "#/components/schemas/Content" + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } } - }, - "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" } } }, - "ToolCall": { - "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", - "properties": { - "toolType": { - "type": "string", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ], - "description": "Required. The type of tool that was called." - }, - "id": { - "type": "string", - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", + "parameters": [ + { + "name": "permissionsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } }, - "args": { - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } - }, - "type": "object" - }, - "InputConfig": { - "type": "object", - "description": "Configures the input to the batch request.", - "properties": { - "requests": { - "$ref": "#/components/schemas/InlinedRequests", - "description": "The requests to be processed in the batch." - }, - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } } } }, - "TuningTask": { - "type": "object", - "description": "Tuning tasks that create tuned models.", - "properties": { - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" - }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" - }, - "snapshots": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/TuningSnapshot" - }, - "description": "Output only. Metrics collected during tuning.", - "type": "array" - }, - "startTime": { - "readOnly": true, - "description": "Output only. The timestamp when tuning this model started.", - "type": "string", - "format": "google-datetime" + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", + "parameters": [ + { + "name": "permissionsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } }, - "completeTime": { - "type": "string", - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp when tuning this model completed." + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } } } - }, - "GoogleSearchRetrieval": { - "description": "Tool to retrieve public web data for grounding, powered by Google.", + } + } + }, + "components": { + "schemas": { + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", + "type": "object", "properties": { - "dynamicRetrievalConfig": { - "$ref": "#/components/schemas/DynamicRetrievalConfig", - "description": "Specifies the dynamic retrieval configuration for the given source." + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" } - }, - "type": "object" + } }, "StringList": { - "type": "object", "description": "User provided string values assigned to a single metadata key.", + "type": "object", "properties": { "values": { + "type": "array", + "description": "The string values of the metadata to store.", "items": { "type": "string" - }, - "description": "The string values of the metadata to store.", - "type": "array" + } } } }, - "ListFilesResponse": { + "CitationSource": { + "description": "A citation to a source for a portion of a specific response.", "type": "object", - "description": "Response for `ListFiles`.", "properties": { - "files": { - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The list of `File`s.", - "type": "array" - }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", "type": "string" + }, + "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." + }, + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer", + "format": "int32" + }, + "license": { + "type": "string", + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations." } } }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "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": { - "uris": { - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "maximum": { + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" + }, + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "title": { + "description": "Optional. The title of the schema.", + "type": "string" + }, + "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" - }, - "type": "array" - } - }, - "type": "object" - }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", - "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" + } }, - "urlRetrievalStatus": { + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" + }, + "type": { "type": "string", + "description": "Required. Data type.", "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" ], "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ], - "description": "Status of the url retrieval." - } - }, - "type": "object" - }, - "WebSearch": { - "description": "Standard web search for grounding and related configurations.", - "properties": {}, - "type": "object" - }, - "InlinedEmbedContentRequest": { - "description": "The request to be processed in the batch.", - "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." + ] }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", + "format": { + "type": "string", + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." + }, + "minProperties": { + "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "type": "string", + "format": "int64" + }, + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" + }, + "pattern": { + "type": "string", + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression." + }, + "properties": { + "description": "Optional. Properties of Type.OBJECT.", + "type": "object", "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "$ref": "#/components/schemas/Schema" + } + }, + "anyOf": { + "type": "array", + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "items": { + "$ref": "#/components/schemas/Schema" + } + }, + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" + }, + "required": { + "type": "array", + "description": "Optional. Required properties of Type.OBJECT.", + "items": { + "type": "string" + } + }, + "minimum": { + "type": "number", + "format": "double", + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" + }, + "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." + }, + "maxLength": { + "description": "Optional. Maximum length of the Type.STRING", + "type": "string", + "format": "int64" + }, + "enum": { + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "type": "array", + "items": { + "type": "string" + } + }, + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, + "maxProperties": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum number of the properties for Type.OBJECT." + }, + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "type": "string", + "format": "int64" } - }, - "type": "object" + } }, - "FileData": { + "PlaceAnswerSources": { + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "type": "object", - "description": "URI based data.", "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" - }, - "fileUri": { - "type": "string", - "description": "Required. URI." + "reviewSnippets": { + "type": "array", + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + } } } }, - "GroundingChunk": { + "BatchStats": { + "description": "Stats about the batch.", "type": "object", - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", "properties": { - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, + "type": "string", + "format": "int64" }, - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" + "successfulRequestCount": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that were successfully processed." }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "requestCount": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The number of requests in the batch." }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" + "pendingRequestCount": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that are still pending processing." } } }, - "FunctionResponsePart": { + "ResponseFormatConfig": { + "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", "type": "object", - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" + "image": { + "description": "Optional. Image output format configuration.", + "$ref": "#/components/schemas/ImageResponseFormat" + }, + "audio": { + "description": "Optional. Audio output format configuration.", + "$ref": "#/components/schemas/AudioResponseFormat" + }, + "text": { + "description": "Optional. Text output format configuration.", + "$ref": "#/components/schemas/TextResponseFormat" } } }, - "GroundingAttribution": { - "description": "Attribution for a source that contributed to an answer.", + "InlinedEmbedContentRequest": { + "type": "object", "properties": { - "sourceId": { - "description": "Output only. Identifier for the source contributing to this attribution.", - "readOnly": true, - "$ref": "#/components/schemas/AttributionSourceId" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" }, - "content": { - "$ref": "#/components/schemas/Content", - "description": "Grounding source content that makes up this attribution." + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } } }, - "type": "object" + "description": "The request to be processed in the batch." }, - "VideoFileMetadata": { + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", "type": "object", - "description": "Metadata for a video `File`.", "properties": { - "videoDuration": { - "description": "Duration of the video.", - "type": "string", - "format": "google-duration" + "urlMetadata": { + "items": { + "$ref": "#/components/schemas/UrlMetadata" + }, + "type": "array", + "description": "List of url context." } } }, - "FileSearch": { + "ListCachedContentsResponse": { "type": "object", - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "properties": { - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" - }, - "fileSearchStoreNames": { + "cachedContents": { + "description": "List of cached contents.", + "type": "array", "items": { - "type": "string" - }, - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", - "type": "array" + "$ref": "#/components/schemas/CachedContent" + } }, - "topK": { - "type": "integer", - "format": "int32", - "description": "Optional. The number of semantic retrieval chunks to retrieve." + "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" } - } + }, + "description": "Response with CachedContents list." }, - "ToolConfig": { + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", "type": "object", - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "properties": { - "includeServerSideToolInvocations": { - "type": "boolean", - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions." + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "readOnly": true, + "type": "string" }, - "retrievalConfig": { - "$ref": "#/components/schemas/RetrievalConfig", - "description": "Optional. Retrieval config." + "priority": { + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "type": "string", + "format": "int64" }, - "functionCallingConfig": { - "$ref": "#/components/schemas/FunctionCallingConfig", - "description": "Optional. Function calling config." - } - } - }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", - "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" - } - }, - "type": "object" - }, - "ModelStatus": { - "type": "object", - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", - "properties": { - "modelStage": { - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" + "state": { + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." ], - "description": "The stage of the underlying model.", - "type": "string", - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false + "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": [ - "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.", + "description": "Output only. The state of the batch.", + "readOnly": true, "type": "string" }, - "retirementTime": { + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" + }, + "endTime": { + "readOnly": true, "type": "string", "format": "google-datetime", - "description": "The time at which the model will be retired." - } - } - }, - "FunctionCallingConfig": { - "type": "object", - "description": "Configuration for specifying function calling behavior.", - "properties": { - "mode": { + "description": "Output only. The time at which the batch processing completed." + }, + "updateTime": { + "readOnly": true, "type": "string", - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ], - "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ], - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO." + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated." }, - "allowedFunctionNames": { - "items": { - "type": "string" - }, - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "type": "array" - } - } - }, - "LogprobsResult": { - "type": "object", - "description": "Logprobs Result", - "properties": { - "topCandidates": { - "items": { - "$ref": "#/components/schemas/TopCandidates" - }, - "description": "Length = total number of decoding steps.", - "type": "array" + "output": { + "description": "Output only. The output of the batch request.", + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentBatchOutput" }, - "chosenCandidates": { - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates." + "batchStats": { + "readOnly": true, + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/BatchStats" }, - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "type": "number", - "format": "float" + "model": { + "type": "string", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + }, + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was created." + }, + "displayName": { + "type": "string", + "description": "Required. The user-defined name of this batch." } } }, - "PromptFeedback": { - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "TuningExample": { + "type": "object", "properties": { - "safetyRatings": { - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array" + "textInput": { + "description": "Optional. Text model input.", + "type": "string" }, - "blockReason": { - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], - "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ], + "output": { + "description": "Required. The expected model output.", "type": "string" } }, - "type": "object" - }, - "UrlContext": { - "description": "Tool to support URL context retrieval.", - "properties": {}, - "type": "object" + "description": "A single example for tuning." }, "BatchEmbedContentsRequest": { "type": "object", - "description": "Batch request to get embeddings from the model for a list of prompts.", "properties": { "requests": { "type": "array", @@ -3282,317 +3047,184 @@ "$ref": "#/components/schemas/EmbedContentRequest" } } - } + }, + "description": "Batch request to get embeddings from the model for a list of prompts." }, - "Image": { - "description": "Chunk from image search.", + "ReviewSnippet": { + "type": "object", "properties": { - "title": { - "description": "The title of the web page that the image is from.", + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", "type": "string" }, - "sourceUri": { - "type": "string", - "description": "The web page URI for attribution." - }, - "imageUri": { + "title": { "type": "string", - "description": "The image asset URL." + "description": "Title of the review." }, - "domain": { + "reviewId": { "type": "string", - "description": "The root domain of the web page that the image is from, e.g. \"example.com\"." + "description": "The ID of the review snippet." } }, - "type": "object" + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." }, - "Model": { - "description": "Information about a Generative Language Model.", + "CountTokensResponse": { + "type": "object", "properties": { - "inputTokenLimit": { - "description": "Maximum number of input tokens allowed for this model.", + "totalTokens": { "type": "integer", - "format": "int32" + "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." }, - "supportedGenerationMethods": { + "cacheTokensDetails": { "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "description": "Output only. List of modalities that were processed in the cached content.", + "readOnly": true, "type": "array" }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", - "type": "string" - }, - "description": { - "description": "A short description of the model.", - "type": "string" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" - }, - "name": { - "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`", - "type": "string" - }, - "topK": { - "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.", + "cachedContentTokenCount": { "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" - }, - "topP": { - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "type": "number", - "format": "float" - }, - "temperature": { - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", - "type": "number", - "format": "float" - }, - "maxTemperature": { - "type": "number", - "format": "float", - "description": "The maximum temperature this model can use." - }, - "outputTokenLimit": { - "description": "Maximum number of output tokens available for this model.", - "type": "integer", - "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" - } - }, - "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, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the cached content." - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "type": "integer", - "format": "int32" - }, - "totalTokens": { - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "type": "integer", - "format": "int32" + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)." }, "promptTokensDetails": { - "type": "array", - "readOnly": true, "items": { "$ref": "#/components/schemas/ModalityTokenCount" }, + "readOnly": true, + "type": "array", "description": "Output only. List of modalities that were processed in the request input." } - } + }, + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`." }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", + "type": "object", "properties": { - "createTime": { + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "readOnly": true, "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch was created.", - "readOnly": true + "format": "google-datetime" }, - "inputConfig": { - "$ref": "#/components/schemas/InputEmbedContentConfig", - "description": "Required. Input configuration of the instances on which batch processing are performed." + "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" }, - "endTime": { + "name": { "readOnly": true, - "description": "Output only. The time at which the batch processing completed.", "type": "string", - "format": "google-datetime" + "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." }, "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." + "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" }, - "batchStats": { + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchStats", - "description": "Output only. Stats about the batch." - }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", "type": "string", "format": "int64" }, - "name": { + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "readOnly": true, "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true + "format": "int64" }, - "state": { - "description": "Output only. The state of the batch.", - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], + "createTime": { "readOnly": true, - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "type": "string" - }, - "model": { "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was created." }, - "output": { - "description": "Output only. The output of the batch request.", + "pendingDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchOutput" - }, - "updateTime": { "type": "string", - "format": "google-datetime", + "format": "int64" + }, + "failedDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", "readOnly": true, - "description": "Output only. The time at which the batch was last updated." + "type": "string", + "format": "int64" } - }, - "type": "object" + } }, - "ResponseFormatConfig": { + "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": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", "properties": { - "audio": { - "description": "Optional. Audio output format configuration.", - "$ref": "#/components/schemas/AudioResponseFormat" + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" }, "text": { - "$ref": "#/components/schemas/TextResponseFormat", - "description": "Optional. Text output format configuration." + "description": "Inline text.", + "type": "string" }, - "image": { - "description": "Optional. Image output format configuration.", - "$ref": "#/components/schemas/ImageResponseFormat" - } - } - }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", - "properties": { - "multiSpeakerVoiceConfig": { - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig", - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field." + "toolResponse": { + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", + "$ref": "#/components/schemas/ToolResponse" }, - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" }, - "languageCode": { - "type": "string", - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`." - } - }, - "type": "object" - }, - "TuningExample": { - "type": "object", - "description": "A single example for tuning.", - "properties": { - "textInput": { - "type": "string", - "description": "Optional. Text model input." + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" }, - "output": { - "type": "string", - "description": "Required. The expected model output." - } - } - }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", - "properties": { - "name": { - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", - "readOnly": true, - "type": "string" + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" }, - "displayName": { - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" }, - "createTime": { - "type": "string", - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The Timestamp of when the `Corpus` was created." + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" }, - "updateTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "readOnly": true - } - }, - "type": "object" - }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", - "properties": { - "generatedFiles": { - "type": "array", - "items": { - "$ref": "#/components/schemas/GeneratedFile" + "partMetadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." }, - "description": "The list of `GeneratedFile`s." + "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." }, - "nextPageToken": { + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" + }, + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", "type": "string", - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." + "format": "byte" + }, + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" + }, + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" } - }, - "type": "object" + } }, "ToolResponse": { - "type": "object", "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", + "type": "object", "properties": { - "response": { - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object", - "description": "Optional. The tool response." - }, - "id": { - "type": "string", - "description": "Optional. The identifier of the tool call this response is for." - }, "toolType": { "enum": [ "TOOL_TYPE_UNSPECIFIED", @@ -3602,8 +3234,6 @@ "GOOGLE_MAPS", "FILE_SEARCH" ], - "type": "string", - "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.", @@ -3611,3285 +3241,3655 @@ "URL context tool, maps to Tool.url_context.", "Google maps tool, maps to Tool.google_maps.", "File search tool, maps to Tool.file_search." - ] + ], + "type": "string", + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`." + }, + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" + }, + "response": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool response." } } }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", - "properties": { - "responsesFile": { + "VoiceConfig": { + "type": "object", + "properties": { + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" + } + }, + "description": "The configuration for the voice to use." + }, + "Tool": { + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", + "type": "object", + "properties": { + "mcpServers": { + "description": "Optional. MCP Servers to connect to.", + "type": "array", + "items": { + "$ref": "#/components/schemas/McpServer" + } + }, + "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": { + "$ref": "#/components/schemas/FunctionDeclaration" + } + }, + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" + }, + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" + }, + "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" + }, + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" + }, + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" + } + } + }, + "GroundingMetadata": { + "type": "object", + "properties": { + "groundingChunks": { + "items": { + "$ref": "#/components/schemas/GroundingChunk" + }, + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "type": "array" + }, + "groundingSupports": { + "type": "array", + "description": "List of grounding support.", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + } + }, + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "webSearchQueries": { + "items": { + "type": "string" + }, + "description": "Web search queries for the following-up web search.", + "type": "array" + }, + "imageSearchQueries": { + "type": "array", + "description": "Image search queries used for grounding.", + "items": { + "type": "string" + } + }, + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" + }, + "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" + } + }, + "description": "Metadata returned to client when grounding is enabled." + }, + "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": { + "type": "array", + "description": "The returned `Document`s.", + "items": { + "$ref": "#/components/schemas/Document" + } + }, + "nextPageToken": { "type": "string", - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + } + } + }, + "ListOperationsResponse": { + "type": "object", + "properties": { + "nextPageToken": { + "type": "string", + "description": "The standard List next-page token." }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "readOnly": true, - "$ref": "#/components/schemas/InlinedEmbedContentResponses" + "operations": { + "items": { + "$ref": "#/components/schemas/Operation" + }, + "type": "array", + "description": "A list of operations that matches the specified filter in the request." + }, + "unreachable": { + "type": "array", + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "items": { + "type": "string" + } } }, - "type": "object" + "description": "The response message for Operations.ListOperations." }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", + "ImageResponseFormat": { + "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}`", + "mimeType": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JPEG image format." + ], + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "IMAGE_JPEG" + ], + "description": "Optional. The MIME type of the image output.", + "type": "string" + }, + "delivery": { + "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" + ], + "description": "Optional. The delivery mode for the image output.", "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, + "aspectRatio": { + "description": "Optional. The aspect ratio for the image output.", + "type": "string", + "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" + ] + }, + "imageSize": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "512px image size.", + "1K image size.", + "2K image size.", + "4K image size." + ], + "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.", + "type": "string" + } + }, + "description": "Configuration for image output format." + }, + "GroundingChunkStringList": { + "type": "object", + "properties": { + "values": { + "items": { + "type": "string" + }, + "type": "array", + "description": "The string values of the list." + } + }, + "description": "A list of string values." + }, + "ImageSearch": { + "type": "object", + "properties": {}, + "description": "Image search for grounding and related configurations." + }, + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", + "type": "object", + "properties": { + "responseModalities": { + "type": "array", + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "items": { + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ], + "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" + }, + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" + }, + "temperature": { + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "type": "number", + "format": "float" + }, + "presencePenalty": { + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "type": "number", + "format": "float" + }, + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" + }, + "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" + }, + "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" + }, + "seed": { + "type": "integer", + "format": "int32", + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." + }, + "frequencyPenalty": { + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "type": "number", + "format": "float" + }, + "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" + }, + "mediaResolution": { + "x-enum-descriptions": [ + "Media resolution has not been set.", + "Media resolution set to low (64 tokens).", + "Media resolution set to medium (256 tokens).", + "Media resolution set to high (zoomed reframing with 256 tokens)." + ], + "enum": [ + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ], + "description": "Optional. If specified, the media resolution specified will be used.", + "type": "string" + }, + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" + }, + "translationConfig": { + "description": "Optional. Config for translation.", + "$ref": "#/components/schemas/TranslationConfig" + }, + "maxOutputTokens": { + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", "type": "integer", "format": "int32" }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" + "topP": { + "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "number", + "format": "float" }, - "taskType": { - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", - "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." - ] + "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]." }, - "embedContentConfig": { - "$ref": "#/components/schemas/EmbedContentConfig", - "description": "Optional. Configuration for the EmbedContent request." + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." }, - "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." + "candidateCount": { + "type": "integer", + "format": "int32", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)" + }, + "stopSequences": { + "items": { + "type": "string" + }, + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", + "type": "array" + }, + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" + }, + "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" } - }, - "type": "object" + } }, - "ReviewSnippet": { - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "ListPermissionsResponse": { + "type": "object", "properties": { - "reviewId": { - "type": "string", - "description": "The ID of the review snippet." - }, - "googleMapsUri": { - "type": "string", - "description": "A link that corresponds to the user review on Google Maps." + "permissions": { + "description": "Returned permissions.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Permission" + } }, - "title": { - "description": "Title of the review.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" } }, - "type": "object" + "description": "Response from `ListPermissions` containing a paginated list of permissions." }, - "InlinedEmbedContentResponse": { - "description": "The response to a single request in the batch.", + "FunctionCall": { + "type": "object", "properties": { - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request." - }, - "metadata": { + "args": { + "type": "object", "additionalProperties": { "description": "Properties of the object." }, - "type": "object", - "description": "Output only. The metadata associated with the request.", - "readOnly": true + "description": "Optional. The function parameters and values in JSON object format." }, - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse" + "name": { + "type": "string", + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." + }, + "id": { + "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "type": "string" } }, - "type": "object" + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "CodeExecution": { + "type": "object", + "properties": {}, + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool." + }, + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "InlinedRequest": { + "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" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" }, "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object" - }, - "response": { - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "description": "Optional. The metadata to be associated with the request.", "type": "object", "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "description": "Properties of the object." } - }, - "name": { - "type": "string", - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." - }, - "error": { - "$ref": "#/components/schemas/Status", - "description": "The error result of the operation in case of failure or cancellation." } }, - "type": "object" + "description": "The request to be processed in the batch." }, - "SearchTypes": { + "InlinedEmbedContentResponses": { "type": "object", - "description": "Different types of search that can be enabled on the GoogleSearch tool.", "properties": { - "webSearch": { - "$ref": "#/components/schemas/WebSearch", - "description": "Optional. Enables web search. Only text results are returned." - }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" + "inlinedResponses": { + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + }, + "description": "Output only. The responses to the requests in the batch.", + "readOnly": true, + "type": "array" } - } + }, + "description": "The responses to the requests in the batch." }, - "EmbedContentConfig": { + "SafetySetting": { "type": "object", - "description": "Configurations for the EmbedContent request.", "properties": { - "title": { - "description": "Optional. The title for the text.", + "threshold": { + "x-enum-descriptions": [ + "Threshold is unspecified.", + "Content with NEGLIGIBLE will be allowed.", + "Content with NEGLIGIBLE and LOW will be allowed.", + "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", + "All content will be allowed.", + "Turn off the safety filter." + ], + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" + ], + "description": "Required. Controls the probability threshold at which harm is blocked.", "type": "string" }, - "taskType": { - "description": "Optional. The task type of the embedding.", + "category": { + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + 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" + ], + "description": "Required. The category for this setting." + } + }, + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked." + }, + "AudioResponseFormat": { + "type": "object", + "properties": { + "sampleRate": { + "type": "integer", + "format": "int32", + "description": "Optional. Sample rate in Hz." + }, + "mimeType": { + "type": "string", + "description": "Optional. The MIME type of the audio output.", + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "AUDIO_MP3", + "AUDIO_OGG_OPUS", + "AUDIO_L16", + "AUDIO_WAV", + "AUDIO_ALAW", + "AUDIO_MULAW" + ], + "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." + ] + }, + "delivery": { "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." + "Default value. This value is unused.", + "Audio data is returned inline in the response.", + "Audio data is returned as a URI." ], "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" ], + "description": "Optional. The delivery mode for the audio output.", "type": "string" }, - "outputDimensionality": { - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "bitRate": { "type": "integer", - "format": "int32" - }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" - }, - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" - }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" - } - } - }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", - "properties": { - "batch": { - "$ref": "#/components/schemas/GenerateContentBatch", - "description": "Required. The batch to create." + "format": "int32", + "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus)." } }, - "type": "object" + "description": "Configuration for audio output format." }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", + "CustomMetadata": { + "type": "object", "properties": { - "customMetadata": { - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "type": "array" - }, - "createTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was created.", - "readOnly": true - }, - "state": { - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ], - "description": "Output only. Current state of the `Document`.", - "type": "string", - "readOnly": true, - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ] + "numericValue": { + "type": "number", + "format": "float", + "description": "The numeric value of the metadata to store." }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the Document.", - "readOnly": true, + "key": { "type": "string", - "format": "int64" - }, - "mimeType": { - "description": "Output only. The mime type of the Document.", - "readOnly": true, - "type": "string" + "description": "Required. The key of the metadata to store." }, - "name": { + "stringValue": { "type": "string", - "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`" + "description": "The string value of the metadata to store." }, - "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\"", + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" + } + }, + "description": "User provided metadata stored as key-value pairs." + }, + "TransferOwnershipResponse": { + "description": "Response from `TransferOwnership`.", + "type": "object", + "properties": {} + }, + "TunedModelSource": { + "type": "object", + "properties": { + "tunedModel": { + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", "type": "string" }, - "updateTime": { - "type": "string", - "format": "google-datetime", + "baseModel": { "readOnly": true, - "description": "Output only. The Timestamp of when the `Document` was last updated." + "type": "string", + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" } }, - "type": "object" + "description": "Tuned model as a source for training a new model." }, - "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", + "FunctionResponseBlob": { + "type": "object", "properties": { - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" - }, - "functionDeclarations": { - "items": { - "$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.", - "type": "array" - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" - }, - "codeExecution": { - "$ref": "#/components/schemas/CodeExecution", - "description": "Optional. Enables the model to execute code as part of generation." - }, - "fileSearch": { - "$ref": "#/components/schemas/FileSearch", - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora." - }, - "googleMaps": { - "$ref": "#/components/schemas/GoogleMaps", - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." - }, - "mcpServers": { - "type": "array", - "description": "Optional. MCP Servers to connect to.", - "items": { - "$ref": "#/components/schemas/McpServer" - } - }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" + "data": { + "type": "string", + "format": "byte", + "description": "Raw bytes for media formats." }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" + "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" } }, - "type": "object" + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field." }, - "Hyperparameters": { + "WhiteSpaceConfig": { "type": "object", - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "properties": { - "learningRate": { - "type": "number", - "format": "float", - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples." - }, - "learningRateMultiplier": { - "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", - "type": "number", - "format": "float" - }, - "epochCount": { + "maxTokensPerChunk": { + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", "type": "integer", - "format": "int32", - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used." + "format": "int32" }, - "batchSize": { - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", "type": "integer", "format": "int32" } - } + }, + "description": "Configuration for a white space chunking algorithm [white space delimited]." }, - "FunctionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "type": "object", "properties": { - "id": { - "type": "string", - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`." - }, - "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.", + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "readOnly": true, "type": "string" }, - "args": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The function parameters and values in JSON object format." + "inlinedResponses": { + "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "readOnly": true, + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." } - }, - "type": "object" + } }, - "McpServer": { - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "Web": { + "description": "Chunk from the web.", + "type": "object", "properties": { - "streamableHttpTransport": { - "$ref": "#/components/schemas/StreamableHttpTransport", - "description": "A transport that can stream HTTP requests and responses." + "uri": { + "description": "Output only. URI reference of the chunk.", + "readOnly": true, + "type": "string" }, - "name": { + "title": { + "readOnly": true, "type": "string", - "description": "The name of the MCPServer." + "description": "Output only. Title of the chunk." } - }, - "type": "object" + } }, - "CachedContentUsageMetadata": { + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "type": "object", - "description": "Metadata on the usage of the cached content.", "properties": { - "totalTokenCount": { - "type": "integer", - "format": "int32", - "description": "Total number of tokens that the cached content consumes." + "safetyRatings": { + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "type": "array" + }, + "blockReason": { + "type": "string", + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ] } } }, - "ImageSearch": { - "type": "object", - "description": "Image search for grounding and related configurations.", - "properties": {} - }, - "EmbeddingUsageMetadata": { + "VideoMetadata": { + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "deprecated": true, "type": "object", - "description": "Metadata on the usage of the embedding request.", "properties": { - "promptTokenDetails": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input." + "endOffset": { + "description": "Optional. The end offset of the video.", + "type": "string", + "format": "google-duration" }, - "promptTokenCount": { - "type": "integer", - "format": "int32", - "readOnly": true, - "description": "Output only. Number of tokens in the prompt." + "startOffset": { + "description": "Optional. The start offset of the video.", + "type": "string", + "format": "google-duration" + }, + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "type": "number", + "format": "double" } } }, - "GoogleSearch": { + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", "type": "object", - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "properties": { - "timeRangeFilter": { - "$ref": "#/components/schemas/Interval", - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." - }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "type": "array", + "items": { + "type": "string" + } } } }, - "TransferOwnershipRequest": { + "ImageConfig": { + "description": "Config for image generation features.", "type": "object", - "description": "Request to transfer the ownership of the tuned model.", "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "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" - } - } - }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", - "properties": { - "voiceName": { + }, + "aspectRatio": { "type": "string", - "description": "The name of the preset voice to use." + "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": "object" + } }, - "ListModelsResponse": { + "Candidate": { + "description": "A response candidate generated from the model.", "type": "object", - "description": "Response from `ListModel` containing a paginated list of Models.", "properties": { - "nextPageToken": { + "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" + }, + "finishReason": { + "readOnly": true, "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response.", + "Request was filtered by an escalation rule." + ], + "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" + ] }, - "models": { + "safetyRatings": { + "type": "array", + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } + }, + "tokenCount": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Token count for this candidate." + }, + "content": { + "$ref": "#/components/schemas/Content", + "description": "Output only. Generated content returned from the model.", + "readOnly": true + }, + "urlContextMetadata": { + "readOnly": true, + "description": "Output only. Metadata related to url context retrieval tool.", + "$ref": "#/components/schemas/UrlContextMetadata" + }, + "index": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Index of the candidate in the list of response candidates." + }, + "citationMetadata": { + "$ref": "#/components/schemas/CitationMetadata", + "readOnly": true, + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." + }, + "groundingAttributions": { + "readOnly": true, "type": "array", + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", "items": { - "$ref": "#/components/schemas/Model" - }, - "description": "The returned Models." + "$ref": "#/components/schemas/GroundingAttribution" + } + }, + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "readOnly": true, + "$ref": "#/components/schemas/LogprobsResult" + }, + "avgLogprobs": { + "readOnly": true, + "type": "number", + "format": "double", + "description": "Output only. Average log probability score of the candidate." + }, + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata" } } }, - "ListCorporaResponse": { + "FileSearch": { + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "type": "object", - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", "properties": { - "corpora": { - "description": "The returned corpora.", + "fileSearchStoreNames": { "items": { - "$ref": "#/components/schemas/Corpus" + "type": "string" }, - "type": "array" + "type": "array", + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" }, - "nextPageToken": { + "metadataFilter": { "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks." + }, + "topK": { + "type": "integer", + "format": "int32", + "description": "Optional. The number of semantic retrieval chunks to retrieve." } } }, - "BatchEmbedContentsResponse": { + "ChunkingConfig": { + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", "type": "object", - "description": "The response to a `BatchEmbedContentsRequest`.", "properties": { - "embeddings": { - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ContentEmbedding" - }, - "type": "array" - }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" } } }, - "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).", + "LatLng": { + "type": "object", "properties": { - "details": { - "type": "array", - "items": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object" - }, - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." - }, - "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" + "latitude": { + "type": "number", + "format": "double", + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0]." }, - "code": { - "type": "integer", - "format": "int32", - "description": "The status code, which should be an enum value of google.rpc.Code." + "longitude": { + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number", + "format": "double" } }, - "type": "object" + "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges." }, - "ComputerUse": { - "type": "object", - "description": "Computer Use tool type.", - "properties": { - "environment": { - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ], - "type": "string", - "description": "Required. The environment being operated.", - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ] - }, - "excludedPredefinedFunctions": { - "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", - "items": { - "type": "string" - }, - "type": "array" + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "type": "object", + "properties": { + "googleSearchDynamicRetrievalScore": { + "type": "number", + "format": "float", + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." } } }, - "FunctionResponseBlob": { + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "type": "object", - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "properties": { - "data": { - "description": "Raw bytes for media formats.", + "text": { "type": "string", - "format": "byte" + "description": "Text description of the place answer." }, - "mimeType": { + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" + }, + "uri": { + "description": "URI reference of the place.", + "type": "string" + }, + "title": { + "description": "Title of the place.", + "type": "string" + }, + "placeId": { "type": "string", - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats)." + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place." } } }, - "PlaceAnswerSources": { + "UrlMetadata": { "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": { - "type": "array", - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", - "items": { - "$ref": "#/components/schemas/ReviewSnippet" - } - } - } - }, - "Permission": { - "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "properties": { - "emailAddress": { - "type": "string", - "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE." - }, - "name": { + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", "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." - }, - "role": { "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." + "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": "Required. The role granted by this permission.", - "type": "string", "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" ] }, - "granteeType": { - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], + "retrievedUrl": { "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." - ] + "description": "Retrieved url by the tool." } }, - "type": "object" + "description": "Context of the a single url retrieval." }, - "RetrievalConfig": { + "ListFileSearchStoresResponse": { + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "type": "object", - "description": "Retrieval config.", "properties": { - "languageCode": { - "type": "string", - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." + "fileSearchStores": { + "items": { + "$ref": "#/components/schemas/FileSearchStore" + }, + "description": "The returned rag_stores.", + "type": "array" }, - "latLng": { - "$ref": "#/components/schemas/LatLng", - "description": "Optional. The location of the user." + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "TuningSnapshot": { + "GenerateContentRequest": { "type": "object", - "description": "Record for a single tuning step.", "properties": { - "computeTime": { - "description": "Output only. The timestamp when this metric was computed.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "step": { - "description": "Output only. The tuning step.", - "readOnly": true, - "type": "integer", - "format": "int32" + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "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." }, - "epoch": { - "readOnly": true, - "description": "Output only. The epoch this step was part of.", - "type": "integer", - "format": "int32" + "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" }, - "meanLoss": { - "readOnly": true, - "description": "Output only. The mean loss of the training examples for this step.", - "type": "number", - "format": "float" - } - } - }, - "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.", - "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." + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "endTime": { - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", - "type": "string", - "format": "google-datetime" - } - }, - "type": "object" - }, - "TextResponseFormat": { - "description": "Configuration for text output format.", - "properties": { - "mimeType": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "JSON output format.", - "Plain text output format." - ], - "description": "Optional. The MIME type of the text output.", + "serviceTier": { "type": "string", + "description": "Optional. The service tier of the request.", "enum": [ - "MIME_TYPE_UNSPECIFIED", - "APPLICATION_JSON", - "TEXT_PLAIN" + "unspecified", + "standard", + "flex", + "priority" + ], + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." ] }, - "schema": { - "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." + "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" + } + }, + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" + }, + "store": { + "type": "boolean", + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." + }, + "safetySettings": { + "items": { + "$ref": "#/components/schemas/SafetySetting" + }, + "type": "array", + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications." + }, + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + "type": "string" } }, - "type": "object" + "description": "Request to generate a completion from the model." }, - "ImportFileRequest": { + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", "type": "object", - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "properties": { - "customMetadata": { - "type": "array", - "description": "Custom metadata to be associated with the file.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - } - }, "fileName": { - "type": "string", - "description": "Required. The name of the `File` to import. Example: `files/abc-123`" + "description": "The name of the `File` containing the input requests.", + "type": "string" }, - "chunkingConfig": { - "$ref": "#/components/schemas/ChunkingConfig", - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" } } }, - "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.", + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", + "type": "object", "properties": { + "error": { + "readOnly": true, + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status" + }, "response": { - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model. Multimedia can be included by using a subobject containing a single \"$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.", + "readOnly": true, + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/EmbedContentResponse" + }, + "metadata": { + "readOnly": true, "type": "object", "additionalProperties": { "description": "Properties of the object." - } - }, - "scheduling": { - "type": "string", - "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ], - "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." - ], - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE." - }, - "id": { - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", - "type": "string" - }, - "willContinue": { - "type": "boolean", - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`." - }, - "parts": { - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" }, - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "type": "array" - }, - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" + "description": "Output only. The metadata associated with the request." } - }, - "type": "object" + } }, - "Web": { + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", "type": "object", - "description": "Chunk from the web.", "properties": { - "uri": { - "description": "Output only. URI reference of the chunk.", - "readOnly": true, - "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." }, - "title": { + "name": { "type": "string", - "readOnly": true, - "description": "Output only. Title of the chunk." + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." + }, + "done": { + "type": "boolean", + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + }, + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "response": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." } } }, - "InlinedRequests": { + "ModalityTokenCount": { "type": "object", - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "requests": { - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - }, - "description": "Required. The requests to be processed in the batch." + "modality": { + "description": "The modality associated with this token count.", + "type": "string", + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ] + }, + "tokenCount": { + "description": "Number of tokens.", + "type": "integer", + "format": "int32" } - } + }, + "description": "Represents token counting info for a single modality." }, - "CodeExecution": { + "GoogleSearchRetrieval": { "type": "object", - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "properties": {} + "properties": { + "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." }, - "DynamicRetrievalConfig": { + "FunctionCallingConfig": { "type": "object", - "description": "Describes the options to customize dynamic retrieval.", "properties": { "mode": { "type": "string", + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "enum": [ "MODE_UNSPECIFIED", - "MODE_DYNAMIC" + "AUTO", + "ANY", + "NONE", + "VALIDATED" ], "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." + "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\"." + ] }, - "dynamicThreshold": { - "type": "number", - "format": "float", - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used." + "allowedFunctionNames": { + "items": { + "type": "string" + }, + "type": "array", + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names." } - } + }, + "description": "Configuration for specifying function calling behavior." }, - "EmbedContentBatchStats": { + "UploadToFileSearchStoreRequest": { "type": "object", - "description": "Stats about the batch.", "properties": { - "failedRequestCount": { - "type": "string", - "format": "int64", - "description": "Output only. The number of requests that failed to be processed.", - "readOnly": true + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" }, - "pendingRequestCount": { - "readOnly": true, - "description": "Output only. The number of requests that are still pending processing.", + "mimeType": { "type": "string", - "format": "int64" + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content." }, - "requestCount": { - "readOnly": true, - "description": "Output only. The number of requests in the batch.", - "type": "string", - "format": "int64" + "customMetadata": { + "type": "array", + "description": "Custom metadata to be associated with the data.", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + } }, - "successfulRequestCount": { - "type": "string", - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests that were successfully processed." + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" } - } + }, + "description": "Request for `UploadToFileSearchStore`." }, - "SemanticRetrieverChunk": { + "ImportFileRequest": { "type": "object", - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "properties": { - "chunk": { - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "readOnly": true, - "type": "string" - }, - "source": { + "fileName": { "type": "string", - "readOnly": true, - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`" + "description": "Required. The name of the `File` to import. Example: `files/abc-123`" + }, + "customMetadata": { + "type": "array", + "description": "Custom metadata to be associated with the file.", + "items": { + "$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.", + "$ref": "#/components/schemas/ChunkingConfig" + } + }, + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`." + }, + "BatchGenerateContentRequest": { + "description": "Request for a `BatchGenerateContent` operation.", + "type": "object", + "properties": { + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } } }, - "AudioResponseFormat": { + "InlinedResponse": { + "description": "The response to a single request in the batch.", "type": "object", - "description": "Configuration for audio output format.", "properties": { - "bitRate": { - "type": "integer", - "format": "int32", - "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus)." - }, - "mimeType": { - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "AUDIO_MP3", - "AUDIO_OGG_OPUS", - "AUDIO_L16", - "AUDIO_WAV", - "AUDIO_ALAW", - "AUDIO_MULAW" - ], - "type": "string", - "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." - ] + "metadata": { + "description": "Output only. The metadata associated with the request.", + "readOnly": true, + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "delivery": { - "type": "string", - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], - "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." + "error": { + "$ref": "#/components/schemas/Status", + "readOnly": true, + "description": "Output only. The error encountered while processing the request." }, - "sampleRate": { - "type": "integer", - "format": "int32", - "description": "Optional. Sample rate in Hz." + "response": { + "$ref": "#/components/schemas/GenerateContentResponse", + "description": "Output only. The response to the request.", + "readOnly": true } } }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", + "SpeechConfig": { + "description": "Config for speech generation and transcription.", + "type": "object", "properties": { - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", - "type": "string" + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" }, - "baseModel": { - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", - "readOnly": true, + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" + }, + "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" } - }, - "type": "object" + } }, - "BatchStats": { + "EmbedContentBatchStats": { "description": "Stats about the batch.", - "properties": { - "successfulRequestCount": { - "type": "string", - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests that were successfully processed." - }, + "type": "object", + "properties": { "requestCount": { + "readOnly": true, "type": "string", "format": "int64", - "description": "Output only. The number of requests in the batch.", - "readOnly": true + "description": "Output only. The number of requests in the batch." }, "pendingRequestCount": { + "readOnly": true, "type": "string", "format": "int64", - "readOnly": true, "description": "Output only. The number of requests that are still pending processing." }, + "successfulRequestCount": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that were successfully processed." + }, "failedRequestCount": { "description": "Output only. The number of requests that failed to be processed.", "readOnly": true, "type": "string", "format": "int64" } - }, - "type": "object" - }, - "TopCandidates": { - "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" - } - } - }, - "type": "object" + } }, - "LatLng": { + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "type": "object", - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", "properties": { - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "epochCount": { + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", + "type": "integer", + "format": "int32" + }, + "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": "double" + "format": "float" }, - "longitude": { - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "learningRateMultiplier": { "type": "number", - "format": "double" + "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." + }, + "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." } } }, - "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.", + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", + "type": "object", "properties": { - "createTime": { - "type": "string", - "format": "google-datetime", - "readOnly": true, - "description": "Output only. Creation time of the cache entry." - }, - "ttl": { - "description": "Input only. New TTL for this resource, input only.", - "type": "string", - "format": "google-duration" - }, - "systemInstruction": { - "$ref": "#/components/schemas/Content", - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only." - }, - "contents": { - "type": "array", + "values": { "items": { - "$ref": "#/components/schemas/Content" + "type": "number", + "format": "float" }, - "description": "Optional. Input only. Immutable. The content to cache." + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", + "type": "array" }, - "tools": { + "shape": { "type": "array", - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", "items": { - "$ref": "#/components/schemas/Tool" + "type": "integer", + "format": "int32" } - }, - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", - "type": "string" - }, - "name": { - "type": "string", + } + } + }, + "TuningSnapshot": { + "description": "Record for a single tuning step.", + "type": "object", + "properties": { + "meanLoss": { "readOnly": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`" - }, - "model": { - "type": "string", - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`" + "type": "number", + "format": "float", + "description": "Output only. The mean loss of the training examples for this step." }, - "toolConfig": { - "$ref": "#/components/schemas/ToolConfig", - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools." + "step": { + "description": "Output only. The tuning step.", + "readOnly": true, + "type": "integer", + "format": "int32" }, - "usageMetadata": { + "epoch": { "readOnly": true, - "$ref": "#/components/schemas/CachedContentUsageMetadata", - "description": "Output only. Metadata on the usage of the cached content." + "type": "integer", + "format": "int32", + "description": "Output only. The epoch this step was part of." }, - "updateTime": { + "computeTime": { + "readOnly": true, "type": "string", "format": "google-datetime", - "readOnly": true, - "description": "Output only. When the cache entry was last updated in UTC time." + "description": "Output only. The timestamp when this metric was computed." + } + } + }, + "RetrievalConfig": { + "type": "object", + "properties": { + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" }, - "expireTime": { - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", + "languageCode": { "type": "string", - "format": "google-datetime" + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." } }, - "type": "object" + "description": "Retrieval config." }, - "ListOperationsResponse": { + "SafetyRating": { + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", "type": "object", - "description": "The response message for Operations.ListOperations.", "properties": { - "operations": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Operation" - }, - "description": "A list of operations that matches the specified filter in the request." + "category": { + "description": "Required. The category for this rating.", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "type": "string", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ] }, - "nextPageToken": { + "probability": { "type": "string", - "description": "The standard List next-page token." + "description": "Required. The probability of harm for this content.", + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ], + "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." + ] }, - "unreachable": { - "type": "array", - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", - "items": { - "type": "string" - } + "blocked": { + "type": "boolean", + "description": "Was this content blocked because of this rating?" } } }, - "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.", + "EmbedContentRequest": { + "type": "object", "properties": { - "language": { + "title": { "type": "string", - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ], + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "deprecated": true + }, + "outputDimensionality": { + "type": "integer", + "format": "int32", + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "deprecated": true + }, + "taskType": { + "deprecated": true, + "type": "string", + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." ], - "description": "Required. Programming language of the `code`." + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] }, - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", - "type": "string" + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" }, - "code": { - "description": "Required. The code to be executed.", + "model": { + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "type": "string" + }, + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" } }, - "type": "object" + "description": "Request containing the `Content` for the model to embed." }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", + "TextResponseFormat": { + "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.", - "$ref": "#/components/schemas/Status" + "schema": { + "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." }, "mimeType": { - "description": "MIME type of the generatedFile.", - "type": "string" - }, - "state": { "type": "string", - "readOnly": true, - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], + "description": "Optional. The MIME type of the text output.", "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" + "MIME_TYPE_UNSPECIFIED", + "APPLICATION_JSON", + "TEXT_PLAIN" ], - "description": "Output only. The state of the GeneratedFile." + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JSON output format.", + "Plain text output format." + ] } }, - "type": "object" + "description": "Configuration for text output format." }, - "InlinedEmbedContentRequests": { + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", "type": "object", - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + }, + "models": { "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" + "$ref": "#/components/schemas/Model" }, - "type": "array" + "type": "array", + "description": "The returned Models." } } }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "AttributionSourceId": { + "type": "object", "properties": { - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", - "type": "integer", - "format": "int32" - }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "type": "array" + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" }, - "thoughtsTokenCount": { - "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens of thoughts for thinking models.", - "readOnly": true + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" + } + }, + "description": "Identifier for the source contributing to this attribution." + }, + "ToolCall": { + "type": "object", + "properties": { + "toolType": { + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "type": "string", + "description": "Required. The type of tool that was called." }, - "totalTokenCount": { - "description": "Total token count for the generation request (prompt + thoughts + response candidates).", - "type": "integer", - "format": "int32" + "args": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" }, - "serviceTier": { - "type": "string", - "readOnly": true, + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "type": "string" + } + }, + "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`." + }, + "ComputerUse": { + "description": "Computer Use tool type.", + "type": "object", + "properties": { + "environment": { "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." + "Defaults to browser.", + "Operates in a web browser." ], "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" ], - "description": "Output only. Service tier of the request." - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "type": "integer", - "format": "int32" - }, - "toolUsePromptTokensDetails": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed for tool-use request inputs." - }, - "candidatesTokensDetails": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were returned in the response." + "description": "Required. The environment being operated.", + "type": "string" }, - "cacheTokensDetails": { - "type": "array", - "readOnly": true, + "excludedPredefinedFunctions": { "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" }, - "description": "Output only. List of modalities of the cached content in the request input." - }, - "promptTokenCount": { - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "type": "integer", - "format": "int32" - }, - "toolUsePromptTokenCount": { - "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "readOnly": true - }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true - }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions." } - }, - "type": "object" + } }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", + "type": "object", "properties": { - "name": { - "type": "string", - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`" - }, - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. Error status if File processing failed." + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, "createTime": { - "type": "string", - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp of when the `File` was created." - }, - "mimeType": { - "type": "string", - "readOnly": true, - "description": "Output only. MIME type of the file." - }, - "source": { - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "type": "string", - "description": "Source of the File.", - "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." - ] - }, - "expirationTime": { - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "description": "Output only. The time at which the batch was created.", "readOnly": true, "type": "string", "format": "google-datetime" }, - "uri": { - "description": "Output only. The uri of the `File`.", - "readOnly": true, - "type": "string" - }, - "sha256Hash": { - "type": "string", - "format": "byte", - "readOnly": true, - "description": "Output only. SHA-256 hash of the uploaded bytes." - }, - "updateTime": { - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was last updated.", - "readOnly": true - }, - "sizeBytes": { - "type": "string", - "format": "int64", - "readOnly": true, - "description": "Output only. Size of the file in bytes." - }, - "videoMetadata": { - "description": "Output only. Metadata for a video.", - "readOnly": true, - "$ref": "#/components/schemas/VideoFileMetadata" - }, "displayName": { - "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", + "description": "Required. The user-defined name of this batch.", "type": "string" }, - "downloadUri": { - "description": "Output only. The download uri of the `File`.", + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "readOnly": true, "type": "string" }, + "priority": { + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "type": "string", + "format": "int64" + }, "state": { "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." - ], "type": "string", - "description": "Output only. Processing state of the File.", - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ] - } - }, - "type": "object" - }, - "Empty": { - "type": "object", - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "properties": {} - }, - "SafetySetting": { - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", - "properties": { - "category": { - "description": "Required. The category for this setting.", + "description": "Output only. The state of the batch.", "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" + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" ], "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "type": "string", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true + "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." ] }, - "threshold": { + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" + }, + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "readOnly": true, "type": "string", - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ], - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ], - "description": "Required. Controls the probability threshold at which harm is blocked." + "format": "google-datetime" + }, + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "output": { + "readOnly": true, + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/EmbedContentBatchOutput" + }, + "batchStats": { + "$ref": "#/components/schemas/EmbedContentBatchStats", + "readOnly": true, + "description": "Output only. Stats about the batch." } - }, - "type": "object" + } }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", + "InlinedEmbedContentRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object", "properties": { - "prebuiltVoiceConfig": { - "$ref": "#/components/schemas/PrebuiltVoiceConfig", - "description": "The configuration for the prebuilt voice to use." + "requests": { + "type": "array", + "description": "Required. The requests to be processed in the batch.", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + } + } + } + }, + "InlinedResponses": { + "type": "object", + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedResponse" + } } }, - "type": "object" + "description": "The responses to the requests in the batch." }, - "GroundingPassageId": { + "BatchEmbedContentsResponse": { "type": "object", - "description": "Identifier for a part within a `GroundingPassage`.", "properties": { - "passageId": { - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "embeddings": { + "items": { + "$ref": "#/components/schemas/ContentEmbedding" + }, "readOnly": true, - "type": "string" + "type": "array", + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request." }, - "partIndex": { - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "usageMetadata": { + "$ref": "#/components/schemas/EmbeddingUsageMetadata", "readOnly": true, - "type": "integer", - "format": "int32" + "description": "Output only. The usage metadata for the request." } - } + }, + "description": "The response to a `BatchEmbedContentsRequest`." }, - "TranslationConfig": { + "FunctionDeclaration": { "type": "object", - "description": "Config for translation features.", "properties": { - "echoTargetLanguage": { - "type": "boolean", - "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." + "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" }, - "targetLanguageCode": { - "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", + "behavior": { + "x-enum-descriptions": [ + "This value is unused.", + "If set, the system will wait to receive the function response before continuing the conversation.", + "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + ], + "enum": [ + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ], + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", "type": "string" + }, + "name": { + "type": "string", + "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128." + }, + "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": { + "type": "string", + "description": "Required. A brief description of the function." + }, + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + }, + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" } - } + }, + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client." }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "Image": { + "type": "object", "properties": { - "enableWidget": { - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", - "type": "boolean" + "title": { + "type": "string", + "description": "The title of the web page that the image is from." + }, + "sourceUri": { + "type": "string", + "description": "The web page URI for attribution." + }, + "imageUri": { + "description": "The image asset URL.", + "type": "string" + }, + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" } }, - "type": "object" + "description": "Chunk from image search." }, - "TuningExamples": { - "description": "A set of tuning examples. Can be training or validation data.", + "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": { - "examples": { - "type": "array", - "items": { - "$ref": "#/components/schemas/TuningExample" - }, - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type." + "startTime": { + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "type": "string", + "format": "google-datetime" + }, + "endTime": { + "type": "string", + "format": "google-datetime", + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end." } - }, - "type": "object" + } }, - "UrlContextMetadata": { + "SearchTypes": { "type": "object", - "description": "Metadata related to url context retrieval tool.", "properties": { - "urlMetadata": { - "description": "List of url context.", - "items": { - "$ref": "#/components/schemas/UrlMetadata" - }, - "type": "array" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" + }, + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" } - } + }, + "description": "Different types of search that can be enabled on the GoogleSearch tool." }, - "UploadToFileSearchStoreRequest": { + "PrebuiltVoiceConfig": { + "description": "The configuration for the prebuilt speaker to use.", "type": "object", - "description": "Request for `UploadToFileSearchStore`.", "properties": { - "chunkingConfig": { - "$ref": "#/components/schemas/ChunkingConfig", - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters." - }, - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data." - }, - "mimeType": { + "voiceName": { "type": "string", - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content." - }, - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" + "description": "The name of the preset voice to use." } } }, - "CustomMetadata": { - "description": "User provided metadata stored as key-value pairs.", + "TransferOwnershipRequest": { + "type": "object", "properties": { - "numericValue": { - "description": "The numeric value of the metadata to store.", - "type": "number", - "format": "float" - }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" - }, - "stringValue": { - "description": "The string value of the metadata to store.", + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", "type": "string" - }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" } }, - "type": "object" + "description": "Request to transfer the ownership of the tuned model." }, - "GenerateContentResponse": { - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", + "TranslationConfig": { + "description": "Config for translation features.", + "type": "object", "properties": { - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "readOnly": true, - "$ref": "#/components/schemas/UsageMetadata" - }, - "modelStatus": { - "readOnly": true, - "$ref": "#/components/schemas/ModelStatus", - "description": "Output only. The current model status of this model." + "targetLanguageCode": { + "type": "string", + "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\")." }, - "responseId": { - "description": "Output only. response_id is used to identify each response.", + "echoTargetLanguage": { + "type": "boolean", + "description": "Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language." + } + } + }, + "GroundingPassageId": { + "type": "object", + "properties": { + "passageId": { + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", "readOnly": true, "type": "string" }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" - }, - "modelVersion": { + "partIndex": { "readOnly": true, - "description": "Output only. The model version used to generate the response.", - "type": "string" - }, - "candidates": { - "description": "Candidate responses from the model.", - "items": { - "$ref": "#/components/schemas/Candidate" - }, - "type": "array" + "type": "integer", + "format": "int32", + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`." } }, - "type": "object" + "description": "Identifier for a part within a `GroundingPassage`." }, - "CreateFileRequest": { + "FunctionResponsePart": { + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "type": "object", - "description": "Request for `CreateFile`.", "properties": { - "file": { - "$ref": "#/components/schemas/File", - "description": "Optional. Metadata for the file to create." + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" } } }, - "ListPermissionsResponse": { + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "type": "object", - "description": "Response from `ListPermissions` containing a paginated list of permissions.", "properties": { - "permissions": { - "items": { - "$ref": "#/components/schemas/Permission" - }, - "description": "Returned permissions.", - "type": "array" + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" }, - "nextPageToken": { + "outcome": { + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ], + "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." + ], "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "description": "Required. Outcome of the code execution." + }, + "output": { + "type": "string", + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise." } } }, - "EmbedContentResponse": { + "LogprobsResult": { + "description": "Logprobs Result", "type": "object", - "description": "The response to an `EmbedContentRequest`.", "properties": { - "embedding": { - "description": "Output only. The embedding generated from the input content.", - "readOnly": true, - "$ref": "#/components/schemas/ContentEmbedding" + "logProbabilitySum": { + "type": "number", + "format": "float", + "description": "Sum of log probabilities for all tokens." }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" - } - } - }, - "ListCachedContentsResponse": { - "description": "Response with CachedContents list.", - "properties": { - "cachedContents": { + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", "type": "array", - "description": "List of cached contents.", "items": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/LogprobsResultCandidate" } }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." + "topCandidates": { + "items": { + "$ref": "#/components/schemas/TopCandidates" + }, + "type": "array", + "description": "Length = total number of decoding steps." } - }, - "type": "object" + } }, - "RetrievedContext": { + "SpeakerVoiceConfig": { "type": "object", - "description": "Chunk from context retrieved by the file search tool.", "properties": { - "uri": { - "type": "string", - "description": "Optional. URI reference of the semantic retrieval document." - }, - "title": { + "speaker": { "type": "string", - "description": "Optional. Title of the document." + "description": "Required. The name of the speaker to use. Should be the same as in the prompt." }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" + } + }, + "description": "The configuration for a single speaker in a multi speaker setup." + }, + "ExecutableCode": { + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", + "type": "object", + "properties": { + "code": { + "description": "Required. The code to be executed.", "type": "string" }, - "text": { - "description": "Optional. Text of the chunk.", + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", "type": "string" }, - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - }, - "description": "Optional. User-provided metadata about the retrieved context." - }, - "fileSearchStore": { + "language": { + "description": "Required. Programming language of the `code`.", "type": "string", - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" - }, - "pageNumber": { - "type": "integer", - "format": "int32", - "description": "Optional. Page number of the retrieved context, if applicable." + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ] } } }, - "StreamableHttpTransport": { + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "type": "object", - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", "properties": { - "headers": { - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "additionalProperties": { - "type": "string" - }, - "type": "object" + "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" }, - "timeout": { + "data": { + "description": "Raw bytes for media formats.", "type": "string", - "format": "google-duration", - "description": "HTTP timeout for regular operations." - }, - "terminateOnClose": { + "format": "byte" + } + } + }, + "FunctionResponse": { + "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", + "type": "object", + "properties": { + "willContinue": { "type": "boolean", - "description": "Whether to close the client session when the transport closes." + "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`." }, - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", - "type": "string", - "format": "google-duration" + "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" }, - "url": { + "parts": { + "items": { + "$ref": "#/components/schemas/FunctionResponsePart" + }, + "type": "array", + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types." + }, + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "type": "string" + }, + "response": { + "type": "object", + "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 \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal." + }, + "scheduling": { "type": "string", - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", + "enum": [ + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ], + "x-enum-descriptions": [ + "This value is unused.", + "Only add the result to the conversation context, do not interrupt or trigger generation.", + "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", + "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + ] } } }, - "GroundingChunkCustomMetadata": { + "EmbedContentResponse": { "type": "object", - "description": "User provided metadata about the GroundingFact.", "properties": { - "key": { - "type": "string", - "description": "The key of the metadata." - }, - "numericValue": { - "type": "number", - "format": "float", - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." - }, - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" + "embedding": { + "readOnly": true, + "description": "Output only. The embedding generated from the input content.", + "$ref": "#/components/schemas/ContentEmbedding" }, - "stringListValue": { - "$ref": "#/components/schemas/GroundingChunkStringList", - "description": "Optional. A list of string values for the metadata." + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } - } + }, + "description": "The response to an `EmbedContentRequest`." }, - "VideoMetadata": { + "VideoFileMetadata": { + "type": "object", "properties": { - "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]." - }, - "startOffset": { - "description": "Optional. The start offset of the video.", - "type": "string", - "format": "google-duration" - }, - "endOffset": { - "description": "Optional. The end offset of the video.", + "videoDuration": { + "description": "Duration of the video.", "type": "string", "format": "google-duration" } }, - "deprecated": true, - "type": "object", - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content." + "description": "Metadata for a video `File`." }, "GoogleAiGenerativelanguageV1betaGroundingSupport": { "description": "Grounding support.", + "type": "object", "properties": { + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + }, + "groundingChunkIndices": { + "type": "array", + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "items": { + "type": "integer", + "format": "int32" + } + }, "confidenceScores": { "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", + "type": "array", "items": { "type": "number", "format": "float" - }, - "type": "array" + } }, "renderedParts": { - "type": "array", - "readOnly": true, "items": { "type": "integer", "format": "int32" }, + "readOnly": true, + "type": "array", "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source." + } + } + }, + "GeneratedFile": { + "type": "object", + "properties": { + "state": { + "readOnly": true, + "type": "string", + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ], + "description": "Output only. The state of the GeneratedFile." }, - "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" + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "name": { + "type": "string", + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`" + }, + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" } }, - "type": "object" + "description": "A file generated on behalf of a user." }, - "InlinedRequest": { + "TuningTask": { + "description": "Tuning tasks that create tuned models.", "type": "object", - "description": "The request to be processed in the batch.", "properties": { - "request": { - "$ref": "#/components/schemas/GenerateContentRequest", - "description": "Required. The request to be processed in the batch." + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "snapshots": { + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + }, + "description": "Output only. Metrics collected during tuning.", + "readOnly": true, + "type": "array" + }, + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" + }, + "startTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model started." + }, + "completeTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model completed." } } }, "MultiSpeakerVoiceConfig": { "type": "object", - "description": "The configuration for the multi-speaker setup.", "properties": { "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", "items": { "$ref": "#/components/schemas/SpeakerVoiceConfig" }, + "description": "Required. All the enabled speaker voices.", "type": "array" } + }, + "description": "The configuration for the multi-speaker setup." + }, + "UrlContext": { + "type": "object", + "properties": {}, + "description": "Tool to support URL context retrieval." + }, + "ThinkingConfig": { + "description": "Config for thinking features.", + "type": "object", + "properties": { + "thinkingBudget": { + "description": "The number of thoughts tokens that the model should generate.", + "type": "integer", + "format": "int32" + }, + "includeThoughts": { + "type": "boolean", + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." + }, + "thinkingLevel": { + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ], + "type": "string", + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. 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." + } } }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "GroundingChunk": { + "type": "object", "properties": { - "values": { + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" + }, + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" + }, + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" + }, + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" + } + }, + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps." + }, + "GroundingAttribution": { + "type": "object", + "properties": { + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", + "readOnly": true, + "$ref": "#/components/schemas/AttributionSourceId" + }, + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" + } + }, + "description": "Attribution for a source that contributed to an answer." + }, + "EmbeddingUsageMetadata": { + "type": "object", + "properties": { + "promptTokenCount": { + "description": "Output only. Number of tokens in the prompt.", + "readOnly": true, + "type": "integer", + "format": "int32" + }, + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true, + "type": "array", "items": { - "type": "string" - }, - "description": "The string values of the list.", - "type": "array" + "$ref": "#/components/schemas/ModalityTokenCount" + } } }, - "type": "object" + "description": "Metadata on the usage of the embedding request." }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", + "File": { + "type": "object", "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" + "videoMetadata": { + "readOnly": true, + "description": "Output only. Metadata for a video.", + "$ref": "#/components/schemas/VideoFileMetadata" }, - "name": { + "createTime": { + "description": "Output only. The timestamp of when the `File` was created.", + "readOnly": true, "type": "string", + "format": "google-datetime" + }, + "sha256Hash": { "readOnly": true, - "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." + "type": "string", + "format": "byte", + "description": "Output only. SHA-256 hash of the uploaded bytes." }, - "pendingDocumentsCount": { + "uri": { "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", "type": "string", - "format": "int64" + "description": "Output only. The uri of the `File`." }, - "createTime": { + "downloadUri": { + "description": "Output only. The download uri of the `File`.", + "readOnly": true, + "type": "string" + }, + "updateTime": { + "readOnly": true, "type": "string", "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "readOnly": true + "description": "Output only. The timestamp of when the `File` was last updated." }, - "updateTime": { + "error": { + "readOnly": true, + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status" + }, + "mimeType": { "readOnly": true, - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", "type": "string", - "format": "google-datetime" + "description": "Output only. MIME type of the file." }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "sizeBytes": { + "description": "Output only. Size of the file in bytes.", "readOnly": true, "type": "string", "format": "int64" }, - "embeddingModel": { + "expirationTime": { + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "readOnly": true, "type": "string", - "description": "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." + "format": "google-datetime" }, - "sizeBytes": { + "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": { "type": "string", - "format": "int64", - "readOnly": true, - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`." + "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`" }, - "activeDocumentsCount": { + "state": { + "readOnly": true, "type": "string", - "format": "int64", - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "readOnly": true + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ], + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." + ], + "description": "Output only. Processing state of the File." + }, + "source": { + "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." + ], + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "description": "Source of the File.", + "type": "string" } }, - "type": "object" + "description": "A file uploaded to the API. Next ID: 15" }, - "Content": { + "UsageMetadata": { "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": { - "type": "string", - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset." + "promptTokensDetails": { + "readOnly": true, + "type": "array", + "description": "Output only. List of modalities that were processed in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "parts": { - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "serviceTier": { + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ], + "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.", + "readOnly": true, + "type": "string" + }, + "toolUsePromptTokensDetails": { "items": { - "$ref": "#/components/schemas/Part" + "$ref": "#/components/schemas/ModalityTokenCount" }, + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "readOnly": true, "type": "array" - } - } - }, - "SearchEntryPoint": { - "type": "object", - "description": "Google search entry point.", - "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", - "type": "string" }, - "sdkBlob": { - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "type": "string", - "format": "byte" - } - } - }, - "CustomLongRunningOperation": { - "type": "object", - "properties": { - "error": { - "$ref": "#/components/schemas/Status", - "description": "The error result of the operation in case of failure or cancellation." + "promptTokenCount": { + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", + "type": "integer", + "format": "int32" }, - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", - "type": "string" + "toolUsePromptTokenCount": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Number of tokens present in tool-use prompt(s)." }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "totalTokenCount": { + "description": "Total token count for the generation request (prompt + thoughts + response candidates).", + "type": "integer", + "format": "int32" + }, + "cachedContentTokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)" + }, + "cacheTokensDetails": { + "description": "Output only. List of modalities of the cached content in the request input.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "done": { - "type": "boolean", - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + "candidatesTokenCount": { + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer", + "format": "int32" }, - "response": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object", - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." - } - } - }, - "ImageResponseFormat": { - "type": "object", - "description": "Configuration for image output format.", - "properties": { - "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" + "candidatesTokensDetails": { + "description": "Output only. List of modalities that were returned in the response.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "imageSize": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "512px image size.", - "1K image size.", - "2K image size.", - "4K image size." - ], - "description": "Optional. The size of the image output.", - "type": "string", - "enum": [ - "IMAGE_SIZE_UNSPECIFIED", - "IMAGE_SIZE_FIVE_TWELVE", - "IMAGE_SIZE_ONE_K", - "IMAGE_SIZE_TWO_K", - "IMAGE_SIZE_FOUR_K" - ] + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", + "readOnly": true, + "type": "integer", + "format": "int32" }, - "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" + "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 }, - "mimeType": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "JPEG image format." - ], - "description": "Optional. The MIME type of the image output.", - "type": "string", - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "IMAGE_JPEG" - ] - } - } - }, - "TransferOwnershipResponse": { - "description": "Response from `TransferOwnership`.", - "properties": {}, - "type": "object" - }, - "CitationMetadata": { - "type": "object", - "description": "A collection of source attributions for a piece of content.", - "properties": { - "citationSources": { + "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", - "description": "Citations to sources for a specific response.", + "readOnly": true, "items": { - "$ref": "#/components/schemas/CitationSource" + "$ref": "#/components/schemas/ModalityTokenCount" } } - } + }, + "description": "Metadata on the generation request's token usage." }, - "CodeExecutionResult": { + "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", - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "properties": { - "id": { - "type": "string", - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id." - }, - "outcome": { - "description": "Required. Outcome of the code execution.", + "modelStage": { "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." + "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." ], "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], + "description": "The stage of the underlying model.", + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false ], "type": "string" }, - "output": { + "retirementTime": { "type": "string", - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise." + "format": "google-datetime", + "description": "The time at which the model will be retired." + }, + "message": { + "type": "string", + "description": "A message explaining the model status." } } }, - "Maps": { + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", "type": "object", - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "properties": { - "text": { - "description": "Text description of the place answer.", - "type": "string" - }, - "placeAnswerSources": { - "$ref": "#/components/schemas/PlaceAnswerSources", - "description": "Sources that provide answers about the features of a given place in Google Maps." - }, - "uri": { - "type": "string", - "description": "URI reference of the place." - }, - "title": { + "nextPageToken": { "type": "string", - "description": "Title of the place." + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." }, - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", - "type": "string" + "corpora": { + "items": { + "$ref": "#/components/schemas/Corpus" + }, + "type": "array", + "description": "The returned corpora." } } }, - "FunctionDeclaration": { + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "type": "object", - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "properties": { - "response": { - "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", - "$ref": "#/components/schemas/Schema" - }, - "description": { - "type": "string", - "description": "Required. A brief description of the function." - }, - "behavior": { - "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." - ], - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", - "type": "string", - "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ] - }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." - }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" - }, - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." - }, - "name": { - "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", - "type": "string" + "enableWidget": { + "type": "boolean", + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response." } } }, - "ListFileSearchStoresResponse": { + "Model": { "type": "object", - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "properties": { - "fileSearchStores": { - "description": "The returned rag_stores.", + "topP": { + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", + "type": "number", + "format": "float" + }, + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" + }, + "supportedGenerationMethods": { + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "type": "array", "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "type": "array" + "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.", + "description": { + "description": "A short description of the model.", "type": "string" - } - } - }, - "WhiteSpaceConfig": { - "type": "object", - "description": "Configuration for a white space chunking algorithm [white space delimited].", - "properties": { - "maxTokensPerChunk": { + }, + "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" + }, + "maxTemperature": { + "type": "number", + "format": "float", + "description": "The maximum temperature this model can use." + }, + "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." + }, + "inputTokenLimit": { "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." + "description": "Maximum number of input tokens allowed for this model." }, - "maxOverlapTokens": { + "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", - "description": "Maximum number of overlapping tokens between two adjacent chunks." - } - } - }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", - "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "format": "int32" }, - "fileName": { + "thinking": { + "type": "boolean", + "description": "Whether the model supports thinking." + }, + "displayName": { "type": "string", - "description": "The name of the `File` containing the input requests." - } - }, - "type": "object" - }, - "Dataset": { - "type": "object", - "description": "Dataset for training or validation.", - "properties": { - "examples": { - "$ref": "#/components/schemas/TuningExamples", - "description": "Optional. Inline examples with simple input/output text." - } - } - }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", - "properties": { - "values": { - "items": { - "type": "number", - "format": "float" - }, - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "type": "array" + "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." }, - "shape": { - "items": { - "type": "integer", - "format": "int32" - }, - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "type": "array" - } - }, - "type": "object" - }, - "GroundingMetadata": { - "description": "Metadata returned to client when grounding is enabled.", - "properties": { - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "type": "string" }, - "webSearchQueries": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Web search queries for the following-up web search." + "outputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of output tokens available for this model." + } + }, + "description": "Information about a Generative Language Model." + }, + "Document": { + "type": "object", + "properties": { + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was created." }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "state": { + "description": "Output only. Current state of the `Document`.", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." + ], + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], + "readOnly": true, "type": "string" }, - "groundingChunks": { - "items": { - "$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.", - "type": "array" + "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" }, - "groundingSupports": { - "type": "array", - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - }, - "description": "List of grounding support." + "displayName": { + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", + "type": "string" }, - "retrievalMetadata": { - "$ref": "#/components/schemas/RetrievalMetadata", - "description": "Metadata related to retrieval in the grounding flow." + "mimeType": { + "readOnly": true, + "type": "string", + "description": "Output only. The mime type of the Document." }, - "imageSearchQueries": { + "customMetadata": { "items": { - "type": "string" + "$ref": "#/components/schemas/CustomMetadata" }, - "description": "Image search queries used for grounding.", + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", "type": "array" + }, + "updateTime": { + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the Document.", + "readOnly": true, + "type": "string", + "format": "int64" } }, - "type": "object" + "description": "A `Document` is a collection of `Chunk`s." }, - "RetrievalMetadata": { + "CountTokensRequest": { + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", "type": "object", - "description": "Metadata related to retrieval in the grounding flow.", "properties": { - "googleSearchDynamicRetrievalScore": { - "type": "number", - "format": "float", - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." + "contents": { + "type": "array", + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "items": { + "$ref": "#/components/schemas/Content" + } + }, + "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.", + "$ref": "#/components/schemas/GenerateContentRequest" } } }, - "Part": { + "CustomLongRunningOperation": { "type": "object", - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "properties": { - "functionResponse": { - "$ref": "#/components/schemas/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." - }, - "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.", - "$ref": "#/components/schemas/ToolCall" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" - }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" - }, - "text": { - "type": "string", - "description": "Inline text." - }, - "codeExecutionResult": { - "$ref": "#/components/schemas/CodeExecutionResult", - "description": "Result of executing the `ExecutableCode`." - }, - "executableCode": { - "$ref": "#/components/schemas/ExecutableCode", - "description": "Code generated by the model that is meant to be executed." - }, - "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`.", - "$ref": "#/components/schemas/ToolResponse" - }, - "partMetadata": { - "additionalProperties": { - "description": "Properties of the object." - }, + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", "type": "object", - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams." - }, - "functionCall": { - "$ref": "#/components/schemas/FunctionCall", - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "thoughtSignature": { - "type": "string", - "format": "byte", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests." + "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" }, - "fileData": { - "$ref": "#/components/schemas/FileData", - "description": "URI based data." + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "videoMetadata": { - "$ref": "#/components/schemas/VideoMetadata", - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data." + "done": { + "type": "boolean", + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." } } }, - "ModalityTokenCount": { + "ListTunedModelsResponse": { "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." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" }, - "tokenCount": { - "description": "Number of tokens.", - "type": "integer", - "format": "int32" - } - } - }, - "InlinedEmbedContentResponses": { - "description": "The responses to the requests in the batch.", - "properties": { - "inlinedResponses": { - "readOnly": true, + "tunedModels": { + "description": "The returned Models.", + "type": "array", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "description": "Output only. The responses to the requests in the batch.", - "type": "array" + "$ref": "#/components/schemas/TunedModel" + } } }, - "type": "object" + "description": "Response from `ListTunedModels` containing a paginated list of Models." }, - "SafetyRating": { - "type": "object", - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", - "properties": { - "category": { - "description": "Required. The category for this rating.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "type": "string", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ] - }, - "probability": { - "description": "Required. The probability of harm for this content.", - "x-enum-descriptions": [ - "Probability is unspecified.", - "Content has a negligible chance of being unsafe.", - "Content has a low chance of being unsafe.", - "Content has a medium chance of being unsafe.", - "Content has a high chance of being unsafe." - ], - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ], - "type": "string" + "SearchEntryPoint": { + "description": "Google search entry point.", + "type": "object", + "properties": { + "sdkBlob": { + "type": "string", + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple." }, - "blocked": { - "type": "boolean", - "description": "Was this content blocked because of this rating?" + "renderedContent": { + "type": "string", + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview." } } }, - "InlinedResponse": { + "SemanticRetrieverChunk": { "type": "object", - "description": "The response to a single request in the batch.", "properties": { - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request." - }, - "metadata": { + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", "readOnly": true, - "description": "Output only. The metadata associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "type": "string" }, - "response": { - "description": "Output only. The response to the request.", + "chunk": { "readOnly": true, - "$ref": "#/components/schemas/GenerateContentResponse" + "type": "string", + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`" } - } + }, + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`." }, - "SpeakerVoiceConfig": { + "Dataset": { "type": "object", - "description": "The configuration for a single speaker in a multi speaker setup.", "properties": { - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" - }, - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", - "type": "string" + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } - } + }, + "description": "Dataset for training or validation." }, - "CitationSource": { - "description": "A citation to a source for a portion of a specific response.", + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "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" + "baseModel": { + "type": "string", + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`" }, - "endIndex": { - "type": "integer", - "format": "int32", - "description": "Optional. End of the attributed segment, exclusive." + "readerProjectNumbers": { + "description": "Optional. List of project numbers that have read access to the tuned model.", + "type": "array", + "items": { + "type": "string", + "format": "int64" + } }, - "startIndex": { + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" + }, + "name": { + "readOnly": true, + "type": "string", + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`" + }, + "state": { + "readOnly": true, + "type": "string", + "description": "Output only. The state of the tuned model.", + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ], + "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." + ] + }, + "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." + }, + "displayName": { + "type": "string", + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces." + }, + "topK": { "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." + "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." }, - "uri": { + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" + }, + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp when this model was updated." + }, + "description": { + "description": "Optional. A short description of this model.", + "type": "string" + }, + "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" + }, + "createTime": { + "readOnly": true, "type": "string", - "description": "Optional. URI that is attributed as a source for a portion of the text." + "format": "google-datetime", + "description": "Output only. The timestamp when this model was created." } - }, - "type": "object" + } }, - "Candidate": { + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", "type": "object", - "description": "A response candidate generated from the model.", "properties": { - "logprobsResult": { - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "readOnly": true, - "$ref": "#/components/schemas/LogprobsResult" - }, - "finishReason": { - "type": "string", - "readOnly": true, + "taskType": { "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." + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." ], "enum": [ - "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" + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" ], - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens." - }, - "groundingMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/GroundingMetadata", - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls." - }, - "avgLogprobs": { - "description": "Output only. Average log probability score of the candidate.", - "readOnly": true, - "type": "number", - "format": "double" - }, - "safetyRatings": { - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "type": "array" + "description": "Optional. The task type of the embedding.", + "type": "string" }, - "tokenCount": { - "readOnly": true, - "description": "Output only. Token count for this candidate.", - "type": "integer", - "format": "int32" + "autoTruncate": { + "type": "boolean", + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length." }, - "urlContextMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/UrlContextMetadata", - "description": "Output only. Metadata related to url context retrieval tool." + "audioTrackExtraction": { + "type": "boolean", + "description": "Optional. Whether to extract audio from video content." }, - "finishMessage": { + "title": { "type": "string", - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", - "readOnly": true + "description": "Optional. The title for the text." }, - "groundingAttributions": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - }, - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls." + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" }, - "index": { - "description": "Output only. Index of the candidate in the list of response candidates.", - "readOnly": true, + "outputDimensionality": { "type": "integer", - "format": "int32" - }, - "citationMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/CitationMetadata", - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." + "format": "int32", + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end." + } + } + }, + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "type": "object", + "properties": { + "timeRangeFilter": { + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", + "$ref": "#/components/schemas/Interval" }, - "content": { - "description": "Output only. Generated content returned from the model.", - "readOnly": true, - "$ref": "#/components/schemas/Content" + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" } } }, - "GenerationConfig": { + "GroundingChunkCustomMetadata": { + "description": "User provided metadata about the GroundingFact.", "type": "object", - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "properties": { - "responseSchema": { - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", - "$ref": "#/components/schemas/Schema" + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "type": "integer", - "format": "int32" + "numericValue": { + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number", + "format": "float" }, - "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)." - ], - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ], + "key": { + "description": "The key of the metadata.", "type": "string" + } + } + }, + "Corpus": { + "type": "object", + "properties": { + "name": { + "readOnly": true, + "type": "string", + "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`" }, - "responseFormat": { - "$ref": "#/components/schemas/ResponseFormatConfig", - "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure." - }, - "stopSequences": { - "items": { - "type": "string" - }, - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", - "type": "array" + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was last updated." }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "displayName": { + "type": "string", + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" }, - "translationConfig": { - "$ref": "#/components/schemas/TranslationConfig", - "description": "Optional. Config for translation." + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was created." + } + }, + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." + }, + "Empty": { + "type": "object", + "properties": {}, + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }" + }, + "CachedContent": { + "type": "object", + "properties": { + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" + "expireTime": { + "type": "string", + "format": "google-datetime", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input." }, - "maxOutputTokens": { - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "type": "integer", - "format": "int32" + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" }, - "imageConfig": { - "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", - "$ref": "#/components/schemas/ImageConfig" + "name": { + "readOnly": true, + "type": "string", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`" }, - "frequencyPenalty": { - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "type": "number", - "format": "float" + "usageMetadata": { + "$ref": "#/components/schemas/CachedContentUsageMetadata", + "description": "Output only. Metadata on the usage of the cached content.", + "readOnly": true }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" + "ttl": { + "description": "Input only. New TTL for this resource, input only.", + "type": "string", + "format": "google-duration" }, - "seed": { - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "type": "integer", - "format": "int32" + "tools": { + "type": "array", + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "items": { + "$ref": "#/components/schemas/Tool" + } }, - "responseMimeType": { + "displayName": { "type": "string", - "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types." + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters." }, - "presencePenalty": { - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", - "type": "number", - "format": "float" + "contents": { + "type": "array", + "description": "Optional. Input only. Immutable. The content to cache.", + "items": { + "$ref": "#/components/schemas/Content" + } }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "type": "number", - "format": "float" + "model": { + "type": "string", + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`" }, - "topK": { - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "integer", - "format": "int32" + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" }, - "topP": { - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "number", - "format": "float" + "createTime": { + "description": "Output only. Creation time of the cache entry.", + "readOnly": true, + "type": "string", + "format": "google-datetime" + } + }, + "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." + }, + "CitationMetadata": { + "type": "object", + "properties": { + "citationSources": { + "description": "Citations to sources for a specific response.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CitationSource" + } + } + }, + "description": "A collection of source attributions for a piece of content." + }, + "ToolConfig": { + "type": "object", + "properties": { + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" }, - "candidateCount": { - "type": "integer", - "format": "int32", - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)" + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" }, - "responseModalities": { + "includeServerSideToolInvocations": { + "type": "boolean", + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions." + } + }, + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request." + }, + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", + "type": "object", + "properties": { + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", "type": "array", - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", "items": { - "type": "string", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ], - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ] + "$ref": "#/components/schemas/GeneratedFile" } }, - "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" + "nextPageToken": { + "type": "string", + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." } } }, - "LogprobsResultCandidate": { - "description": "Candidate for the logprobs token and score.", + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", + "type": "object", "properties": { - "tokenId": { - "description": "The candidate\u2019s token id value.", - "type": "integer", - "format": "int32" + "granteeType": { + "description": "Optional. Immutable. The type of the grantee.", + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Represents a user. When set, you must provide email_address for the user.", + "Represents a group. When set, you must provide email_address for the group.", + "Represents access to everyone. No extra information is required." + ], + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ] }, - "logProbability": { - "type": "number", - "format": "float", - "description": "The candidate's log probability." + "role": { + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ], + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ], + "description": "Required. The role granted by this permission.", + "type": "string" }, - "token": { + "name": { + "readOnly": true, "type": "string", - "description": "The candidate\u2019s token string value." + "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.", + "type": "string" } - }, - "type": "object" + } }, - "ImageConfig": { - "description": "Config for image generation features.", + "ListFilesResponse": { + "type": "object", "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" + "files": { + "items": { + "$ref": "#/components/schemas/File" + }, + "type": "array", + "description": "The list of `File`s." }, - "aspectRatio": { - "type": "string", - "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided." + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "type": "string" } }, - "type": "object" + "description": "Response for `ListFiles`." }, - "TunedModel": { + "Content": { "type": "object", - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "properties": { - "topP": { - "type": "number", - "format": "float", - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model." - }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" - }, - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "integer", - "format": "int32" + "parts": { + "items": { + "$ref": "#/components/schemas/Part" + }, + "type": "array", + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." }, - "state": { - "description": "Output only. The state of the tuned model.", - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], - "readOnly": true, - "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." - ], + "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" - }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "number", - "format": "float" - }, - "displayName": { - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + } + }, + "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." + }, + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "type": "object", + "properties": { + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", "type": "string" }, - "readerProjectNumbers": { - "items": { - "type": "string", - "format": "int64" - }, - "description": "Optional. List of project numbers that have read access to the tuned model.", - "type": "array" - }, - "updateTime": { + "sseReadTimeout": { + "description": "Timeout for SSE read operations.", "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp when this model was updated.", - "readOnly": true + "format": "google-duration" }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", - "type": "string" + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" }, - "description": { - "type": "string", - "description": "Optional. A short description of this model." + "headers": { + "type": "object", + "additionalProperties": { + "type": "string" + }, + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed." }, - "createTime": { - "description": "Output only. The timestamp when this model was created.", - "readOnly": true, + "timeout": { + "description": "HTTP timeout for regular operations.", "type": "string", - "format": "google-datetime" - }, - "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" + "format": "google-duration" } } }, - "Schema": { + "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", - "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": { - "type": { + "responseId": { + "readOnly": true, "type": "string", - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ], - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ], - "description": "Required. Data type." + "description": "Output only. response_id is used to identify each response." }, - "minItems": { - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "type": "string", - "format": "int64" + "modelStatus": { + "description": "Output only. The current model status of this model.", + "readOnly": true, + "$ref": "#/components/schemas/ModelStatus" }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" + "candidates": { + "type": "array", + "description": "Candidate responses from the model.", + "items": { + "$ref": "#/components/schemas/Candidate" } }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", - "type": "string" - }, - "nullable": { - "type": "boolean", - "description": "Optional. Indicates if the value may be null." + "usageMetadata": { + "$ref": "#/components/schemas/UsageMetadata", + "description": "Output only. Metadata on the generation requests' token usage.", + "readOnly": true }, - "maxProperties": { - "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "modelVersion": { + "readOnly": true, "type": "string", - "format": "int64" - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - }, - "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" + "description": "Output only. The model version used to generate the response." + } + } + }, + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "type": "object", + "properties": { + "responsesFile": { + "readOnly": true, + "type": "string", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." }, - "maxItems": { - "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "inlinedResponses": { + "$ref": "#/components/schemas/InlinedResponses", + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "readOnly": true + } + } + }, + "RetrievedContext": { + "type": "object", + "properties": { + "fileSearchStore": { "type": "string", - "format": "int64" + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "customMetadata": { "items": { - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" }, - "type": "array" - }, - "maxLength": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum length of the Type.STRING" + "type": "array", + "description": "Optional. User-provided metadata about the retrieved context." }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", "type": "string" }, - "description": { + "title": { "type": "string", - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown." - }, - "required": { - "type": "array", - "description": "Optional. Required properties of Type.OBJECT.", - "items": { - "type": "string" - } - }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + "description": "Optional. Title of the document." }, - "minimum": { - "type": "number", - "format": "double", - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" + "uri": { + "type": "string", + "description": "Optional. URI reference of the semantic retrieval document." }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "text": { "type": "string", - "format": "int64" + "description": "Optional. Text of the chunk." }, - "propertyOrdering": { + "pageNumber": { + "type": "integer", + "format": "int32", + "description": "Optional. Page number of the retrieved context, if applicable." + } + }, + "description": "Chunk from context retrieved by the file search tool." + }, + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object", + "properties": { + "requests": { "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.", + "description": "Required. The requests to be processed in the batch.", "items": { - "type": "string" + "$ref": "#/components/schemas/InlinedRequest" } - }, - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." - }, - "minProperties": { - "type": "string", - "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT." } } }, - "AsyncBatchEmbedContentRequest": { - "description": "Request for an `AsyncBatchEmbedContent` operation.", + "Status": { + "type": "object", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "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": { + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", + "type": "array", + "items": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + } + }, + "code": { + "type": "integer", + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code." } }, - "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)." }, - "Blob": { - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "McpServer": { + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "type": "object", "properties": { - "data": { + "name": { + "description": "The name of the MCPServer.", + "type": "string" + }, + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" + } + } + }, + "InputConfig": { + "type": "object", + "properties": { + "fileName": { "type": "string", - "format": "byte", - "description": "Raw bytes for media formats." + "description": "The name of the `File` containing the input requests." }, - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", - "type": "string" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" } }, - "type": "object" + "description": "Configures the input to the batch request." }, - "GenerateContentBatch": { - "description": "A resource representing a batch of `GenerateContent` requests.", + "FileData": { + "type": "object", "properties": { - "updateTime": { + "mimeType": { "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch was last updated.", - "readOnly": true - }, - "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" - ], - "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" + "description": "Optional. The IANA standard MIME type of the source data." }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "fileUri": { + "description": "Required. URI.", "type": "string" - }, - "output": { - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentBatchOutput", - "description": "Output only. The output of the batch request." - }, - "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." - }, - "batchStats": { - "readOnly": true, - "$ref": "#/components/schemas/BatchStats", - "description": "Output only. Stats about the batch." - }, - "priority": { - "type": "string", - "format": "int64", - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." - }, - "name": { - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true - }, - "createTime": { - "readOnly": true, - "description": "Output only. The time at which the batch was created.", - "type": "string", - "format": "google-datetime" - }, - "inputConfig": { - "$ref": "#/components/schemas/InputConfig", - "description": "Required. Input configuration of the instances on which batch processing are performed." - }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "readOnly": true, - "type": "string", - "format": "google-datetime" } }, - "type": "object" + "description": "URI based data." }, - "ListTunedModelsResponse": { + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", "type": "object", - "description": "Response from `ListTunedModels` containing a paginated list of Models.", "properties": { - "tunedModels": { + "candidates": { "items": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/LogprobsResultCandidate" }, - "description": "The returned Models.", + "description": "Sorted by log probability in descending order.", "type": "array" - }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } } }, "RegisterFilesResponse": { "type": "object", - "description": "Response for `RegisterFiles`.", "properties": { "files": { "description": "The registered files to be used when calling GenerateContent.", + "type": "array", "items": { "$ref": "#/components/schemas/File" - }, - "type": "array" + } + } + }, + "description": "Response for `RegisterFiles`." + }, + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", + "type": "object", + "properties": { + "tokenId": { + "description": "The candidate\u2019s token id value.", + "type": "integer", + "format": "int32" + }, + "token": { + "type": "string", + "description": "The candidate\u2019s token string value." + }, + "logProbability": { + "description": "The candidate's log probability.", + "type": "number", + "format": "float" } } }, - "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", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", + "type": "object", "properties": { - "whiteSpaceConfig": { - "$ref": "#/components/schemas/WhiteSpaceConfig", - "description": "White space chunking configuration." + "totalTokenCount": { + "description": "Total number of tokens that the cached content consumes.", + "type": "integer", + "format": "int32" } - }, - "type": "object" + } }, - "InlinedResponses": { + "TuningExamples": { "type": "object", - "description": "The responses to the requests in the batch.", "properties": { - "inlinedResponses": { + "examples": { "type": "array", - "description": "Output only. The responses to the requests in the batch.", - "readOnly": true, + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", "items": { - "$ref": "#/components/schemas/InlinedResponse" + "$ref": "#/components/schemas/TuningExample" } } + }, + "description": "A set of tuning examples. Can be training or validation data." + }, + "CreateFileRequest": { + "type": "object", + "properties": { + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" + } + }, + "description": "Request for `CreateFile`." + }, + "CreateFileResponse": { + "type": "object", + "properties": { + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" + } + }, + "description": "Response for `CreateFile`." + }, + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", + "type": "object", + "properties": { + "mode": { + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ], + "x-enum-descriptions": [ + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], + "type": "string", + "description": "The mode of the predictor to be used in dynamic retrieval." + }, + "dynamicThreshold": { + "type": "number", + "format": "float", + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used." + } } }, "GoogleAiGenerativelanguageV1betaSegment": { "description": "Segment of the content.", + "type": "object", "properties": { - "startIndex": { - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "partIndex": { + "description": "The index of a Part object within its parent Content object.", "type": "integer", "format": "int32" }, - "endIndex": { - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "type": "integer", - "format": "int32" + "text": { + "type": "string", + "description": "The text corresponding to the segment from the response." }, - "partIndex": { + "startIndex": { "type": "integer", "format": "int32", - "description": "The index of a Part object within its parent Content object." + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero." }, - "text": { - "type": "string", - "description": "The text corresponding to the segment from the response." + "endIndex": { + "type": "integer", + "format": "int32", + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero." } - }, - "type": "object" + } } } }