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 56f8d4e28..6c2d84279 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -452,21 +452,21 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// + /// + /// 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. /// + /// + /// Stats about the batch. + /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Stats about the batch. - /// /// /// Required. The user-defined name of this batch. /// @@ -476,22 +476,22 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, + string? priority = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? priority = default, string? model = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { + Priority = priority, InputConfig = inputConfig, + BatchStats = batchStats, Output = output, - Priority = priority, Model = model, - BatchStats = batchStats, DisplayName = displayName, }; 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 2ec06fc5f..5a129b7aa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -452,47 +452,47 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// - /// - /// 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. /// - /// - /// Required. The user-defined name of this batch. + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Stats about the batch. + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// /// Configures the input to the batch request. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? priority = default, - string? displayName = default, - string? model = default, global::Google.Gemini.BatchStats? batchStats = default, - global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, + string? model = default, + string? displayName = default, + string? priority = default, + global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - Priority = priority, - DisplayName = displayName, - Model = model, BatchStats = batchStats, - InputConfig = inputConfig, Output = output, + Model = model, + DisplayName = displayName, + Priority = priority, + InputConfig = inputConfig, }; 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 9942c5b9d..c27f7689d 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 @@ -429,23 +429,14 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -453,6 +444,15 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// @@ -460,28 +460,28 @@ partial void ProcessCachedContentsCreateResponseContent( /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? expireTime = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? model = default, + string? expireTime = default, global::Google.Gemini.ToolConfig? toolConfig = default, string? displayName = default, + string? model = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - ExpireTime = expireTime, Tools = tools, - Ttl = ttl, SystemInstruction = systemInstruction, - UsageMetadata = usageMetadata, - Model = model, + ExpireTime = expireTime, ToolConfig = toolConfig, DisplayName = displayName, + Model = model, + UsageMetadata = usageMetadata, + Ttl = ttl, Contents = contents, }; 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 1c5837f23..8b07bb3bb 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 @@ -452,23 +452,14 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -476,6 +467,15 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// @@ -485,28 +485,28 @@ partial void ProcessCachedContentsPatchResponseContent( public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? expireTime = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? model = default, + string? expireTime = default, global::Google.Gemini.ToolConfig? toolConfig = default, string? displayName = default, + string? model = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - ExpireTime = expireTime, Tools = tools, - Ttl = ttl, SystemInstruction = systemInstruction, - UsageMetadata = usageMetadata, - Model = model, + ExpireTime = expireTime, ToolConfig = toolConfig, DisplayName = displayName, + Model = model, + UsageMetadata = usageMetadata, + Ttl = ttl, Contents = contents, }; 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 569de1649..526ac84d6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs @@ -439,31 +439,31 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. + /// + /// 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.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = 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, - GranteeType = granteeType, Role = role, + GranteeType = granteeType, + 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 68d5b5460..df07ccb54 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs @@ -462,14 +462,14 @@ 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. + /// + /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -478,17 +478,17 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string permissionsId, string corporaId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = 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, - GranteeType = granteeType, Role = role, + GranteeType = granteeType, + 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 b3e7c5327..9c283ecbf 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - Tools = tools, + Contents = contents, SafetySettings = safetySettings, - Store = store, + CachedContent = cachedContent, + ToolConfig = toolConfig, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, Model = model, - ToolConfig = toolConfig, ServiceTier = serviceTier, - Contents = contents, + GenerationConfig = generationConfig, + Store = store, + Tools = tools, }; 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 ba06757cc..01613a95a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - Tools = tools, + Contents = contents, SafetySettings = safetySettings, - Store = store, + CachedContent = cachedContent, + ToolConfig = toolConfig, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, Model = model, - ToolConfig = toolConfig, ServiceTier = serviceTier, - Contents = contents, + GenerationConfig = generationConfig, + Store = store, + Tools = tools, }; 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 b722813c8..3bae6b446 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -379,66 +379,66 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = 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 { - CachedContent = cachedContent, - Tools = tools, + Contents = contents, SafetySettings = safetySettings, - Store = store, + CachedContent = cachedContent, + ToolConfig = toolConfig, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, Model = model, - ToolConfig = toolConfig, ServiceTier = serviceTier, - Contents = contents, + GenerationConfig = generationConfig, + Store = store, + Tools = tools, }; 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 22ea3ac6c..650375481 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs @@ -429,25 +429,25 @@ partial void ProcessFileSearchStoresCreateResponseContent( /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? displayName = default, string? embeddingModel = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.FileSearchStore { - DisplayName = displayName, EmbeddingModel = embeddingModel, + DisplayName = displayName, }; return await FileSearchStoresCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index 095fe828b..f66776523 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -439,12 +439,12 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// 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 /// @@ -453,16 +453,16 @@ 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 76b471baf..73a2c0f95 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs @@ -439,36 +439,36 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - /// - /// Optional. Display name of the created document. - /// /// /// Custom metadata to be associated with the data. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Optional. Display name of the created document. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - string? displayName = default, global::System.Collections.Generic.IList? customMetadata = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { - ChunkingConfig = chunkingConfig, - DisplayName = displayName, CustomMetadata = customMetadata, + ChunkingConfig = chunkingConfig, MimeType = mimeType, + DisplayName = displayName, }; 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 7cfc72e89..ab0600007 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 @@ -444,28 +444,28 @@ partial void ProcessModelsEmbedContentResponseContent( /// /// 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. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, - string? model = default, global::Google.Gemini.Content? content = default, + string? model = 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, + Model = model, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index e51651645..fb2f75742 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - Tools = tools, + Contents = contents, SafetySettings = safetySettings, - Store = store, + CachedContent = cachedContent, + ToolConfig = toolConfig, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, Model = model, - ToolConfig = toolConfig, ServiceTier = serviceTier, - Contents = contents, + GenerationConfig = generationConfig, + Store = store, + Tools = tools, }; 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 b7b2671d7..8c391844e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - Tools = tools, + Contents = contents, SafetySettings = safetySettings, - Store = store, + CachedContent = cachedContent, + ToolConfig = toolConfig, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, Model = model, - ToolConfig = toolConfig, ServiceTier = serviceTier, - Contents = contents, + GenerationConfig = generationConfig, + Store = store, + Tools = tools, }; 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 62f9359f6..7371e5fec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -379,66 +379,66 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = 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 { - CachedContent = cachedContent, - Tools = tools, + Contents = contents, SafetySettings = safetySettings, - Store = store, + CachedContent = cachedContent, + ToolConfig = toolConfig, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, Model = model, - ToolConfig = toolConfig, ServiceTier = serviceTier, - Contents = contents, + GenerationConfig = generationConfig, + Store = store, + Tools = tools, }; 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 e33cc4753..2fb0445dc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs @@ -442,61 +442,61 @@ 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. - /// /// /// 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. A short description of this model. /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// /// /// 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. /// - /// - /// Tuning tasks that create tuned models. - /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// 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, float? temperature = default, - string? displayName = default, string? description = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + string? displayName = default, string? baseModel = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TuningTask? tuningTask = default, int? topK = 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, Temperature = temperature, - DisplayName = displayName, Description = description, + TuningTask = tuningTask, TunedModelSource = tunedModelSource, + DisplayName = displayName, BaseModel = baseModel, ReaderProjectNumbers = readerProjectNumbers, - TuningTask = tuningTask, TopK = topK, + 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 e419f8380..7e7f42aba 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - Tools = tools, + Contents = contents, SafetySettings = safetySettings, - Store = store, + CachedContent = cachedContent, + ToolConfig = toolConfig, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, Model = model, - ToolConfig = toolConfig, ServiceTier = serviceTier, - Contents = contents, + GenerationConfig = generationConfig, + Store = store, + Tools = tools, }; 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 27310b54f..279267238 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs @@ -452,62 +452,62 @@ 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. - /// /// /// 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. A short description of this model. /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// /// /// 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. /// - /// - /// Tuning tasks that create tuned models. - /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// 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, float? temperature = default, - string? displayName = default, string? description = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + string? displayName = default, string? baseModel = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TuningTask? tuningTask = default, int? topK = 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, Temperature = temperature, - DisplayName = displayName, Description = description, + TuningTask = tuningTask, TunedModelSource = tunedModelSource, + DisplayName = displayName, BaseModel = baseModel, ReaderProjectNumbers = readerProjectNumbers, - TuningTask = tuningTask, TopK = topK, + 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 52a3ff20e..aaaf55a27 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs @@ -439,31 +439,31 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. + /// + /// 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.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = 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, - GranteeType = granteeType, Role = role, + GranteeType = granteeType, + 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 e78efe25e..41b0d31b7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs @@ -462,14 +462,14 @@ 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. + /// + /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -478,17 +478,17 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string tunedModelsId, string permissionsId, string? updateMask = default, - string? emailAddress = default, - global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = 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, - GranteeType = granteeType, Role = role, + GranteeType = granteeType, + 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 00e8c98db..344c3c71b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - Tools = tools, + Contents = contents, SafetySettings = safetySettings, - Store = store, + CachedContent = cachedContent, + ToolConfig = toolConfig, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, Model = model, - ToolConfig = toolConfig, ServiceTier = serviceTier, - Contents = contents, + GenerationConfig = generationConfig, + Store = store, + Tools = tools, }; 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 99ceec63b..73014f270 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -379,66 +379,66 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = 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 { - CachedContent = cachedContent, - Tools = tools, + Contents = contents, SafetySettings = safetySettings, - Store = store, + CachedContent = cachedContent, + ToolConfig = toolConfig, SystemInstruction = systemInstruction, - GenerationConfig = generationConfig, Model = model, - ToolConfig = toolConfig, ServiceTier = serviceTier, - Contents = contents, + GenerationConfig = generationConfig, + Store = store, + Tools = tools, }; 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 aab4b51f7..6f3cd5c65 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 @@ -41,21 +41,21 @@ public partial interface IGeminiClient /// /// /// + /// + /// 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. /// + /// + /// Stats about the batch. + /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Stats about the batch. - /// /// /// Required. The user-defined name of this batch. /// @@ -65,11 +65,11 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, + string? priority = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? priority = default, string? model = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = 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.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 14408330c..8b998802c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -41,36 +41,36 @@ public partial interface IGeminiClient /// /// /// - /// - /// 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. /// - /// - /// Required. The user-defined name of this batch. + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Stats about the batch. + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// /// Configures the input to the batch request. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? priority = default, - string? displayName = default, - string? model = default, global::Google.Gemini.BatchStats? batchStats = default, - global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, + string? model = default, + string? displayName = default, + string? priority = default, + global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index e04216420..1ba420e7e 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 @@ -31,23 +31,14 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -55,6 +46,15 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// @@ -62,14 +62,14 @@ public partial interface IGeminiClient /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? expireTime = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? model = default, + string? expireTime = default, global::Google.Gemini.ToolConfig? toolConfig = default, string? displayName = default, + string? model = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs index 24192ea05..8396648b6 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 @@ -41,23 +41,14 @@ public partial interface IGeminiClient /// /// /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -65,6 +56,15 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// @@ -74,14 +74,14 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? expireTime = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? model = default, + string? expireTime = default, global::Google.Gemini.ToolConfig? toolConfig = default, string? displayName = default, + string? model = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? ttl = default, global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index 5ec2145a9..d00a997c8 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. + /// + /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// 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.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = 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 deb5b41f4..61d0e8e47 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. + /// + /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// 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.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = 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 f1bb386c6..f9c44c426 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. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs index fee7f7e60..90ee0082e 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 42a0a74c6..e4a6a6985 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs index 9edab07fb..456dc9c71 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 e31c28d5e..f429f2598 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 7a2345e1b..a2ea08f43 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -36,27 +36,27 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - /// - /// Optional. Display name of the created document. - /// /// /// Custom metadata to be associated with the data. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Optional. Display name of the created document. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - string? displayName = default, global::System.Collections.Generic.IList? customMetadata = default, + global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = 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.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index 396788467..4b94ecbac 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 @@ -41,20 +41,20 @@ public partial interface IGeminiClient /// /// 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. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, - string? model = default, global::Google.Gemini.Content? content = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index 5ec1597a8..2f2eb64ba 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. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs index a75338926..f4ba7f563 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs index becd9be33..f1ccf4693 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs index 0f4ab19be..b3b84545c 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. - /// /// /// 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. A short description of this model. /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// /// /// 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. /// - /// - /// Tuning tasks that create tuned models. - /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// 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, float? temperature = default, - string? displayName = default, string? description = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + string? displayName = default, string? baseModel = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TuningTask? tuningTask = default, int? topK = 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 5ead29028..df6955488 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. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs index 65a304cea..ed28ba8bd 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. - /// /// /// 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. A short description of this model. /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// /// /// 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. /// - /// - /// Tuning tasks that create tuned models. - /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// /// 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, float? temperature = default, - string? displayName = default, string? description = default, + global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + string? displayName = default, string? baseModel = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TuningTask? tuningTask = default, int? topK = 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 37eaa38e7..201791e76 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. + /// + /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// 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.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = 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 6e5c8adbb..e32f36847 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. + /// + /// Required. The role granted by this permission. /// /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// /// 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.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = 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 d91e94810..651432167 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`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index ec7c05a25..16cb9a860 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// /// 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, - string? cachedContent = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, + string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.Content? systemInstruction = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, string? model = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + bool? store = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs index 5bebe110e..fa6650a0b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,117 +13,113 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), @@ -133,310 +129,314 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + 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.Web))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] + [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(float))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] + [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.ThinkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfigTaskType), TypeInfoPropertyName = "EmbedContentConfigTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] + 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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.SchemaType), TypeInfoPropertyName = "SchemaType2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LatLng))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchState), TypeInfoPropertyName = "EmbedContentBatchState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Permission))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionRole), TypeInfoPropertyName = "PermissionRole2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionGranteeType), TypeInfoPropertyName = "PermissionGranteeType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] [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::Google.Gemini.Document))] + [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.ChunkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFileSearchStoresResponse))] + 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [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 7cdeae341..45da9ab23 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,7 +28,7 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.Web? Type0 { get; set; } + public global::Google.Gemini.UrlMetadata? Type0 { get; set; } /// /// /// @@ -36,543 +36,543 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.CreateFileRequest? Type2 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type2 { get; set; } /// /// /// - public global::Google.Gemini.File? Type3 { get; set; } + public global::Google.Gemini.GenerationConfig? Type3 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type4 { get; set; } + public global::System.Collections.Generic.IList? Type4 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type5 { get; set; } + public float? Type5 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type6 { get; set; } + public global::Google.Gemini.SpeechConfig? Type6 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type7 { get; set; } + public bool? Type7 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type8 { get; set; } + public object? Type8 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type9 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type9 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type10 { get; set; } + public int? Type10 { get; set; } /// /// /// - public object? Type11 { get; set; } + public global::Google.Gemini.Schema? Type11 { get; set; } /// /// /// - public int? Type12 { get; set; } + public global::System.Collections.Generic.IList? Type12 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type13 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type13 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type14 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type14 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type15 { get; set; } + public global::Google.Gemini.ImageConfig? Type15 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type16 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type16 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type17 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type17 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type18 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type18 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type19 { get; set; } + public global::Google.Gemini.InlinedResponse? Type19 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type20 { get; set; } + public global::Google.Gemini.Status? Type20 { get; set; } /// /// /// - public bool? Type21 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type21 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type22 { get; set; } + public global::Google.Gemini.GroundingChunk? Type22 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type23 { get; set; } + public global::Google.Gemini.Image? Type23 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type24 { get; set; } + public global::Google.Gemini.Web? Type24 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type25 { get; set; } + public global::Google.Gemini.RetrievedContext? Type25 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type26 { get; set; } + public global::Google.Gemini.Maps? Type26 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type27 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type27 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type28 { get; set; } + public global::System.Collections.Generic.IList? Type28 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type29 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type29 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type30 { get; set; } + public global::Google.Gemini.InputConfig? Type30 { get; set; } /// /// /// - public float? Type31 { get; set; } + public global::Google.Gemini.InlinedRequests? Type31 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type32 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type32 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type33 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type33 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type34 { get; set; } + public global::Google.Gemini.PromptFeedback? Type34 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type35 { get; set; } + public global::Google.Gemini.ModelStatus? Type35 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type36 { get; set; } + public global::Google.Gemini.UsageMetadata? Type36 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type37 { get; set; } + public global::System.Collections.Generic.IList? Type37 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type38 { get; set; } + public global::Google.Gemini.Candidate? Type38 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type39 { get; set; } + public global::Google.Gemini.CodeExecution? Type39 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type40 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type40 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type41 { get; set; } + public global::System.Collections.Generic.IList? Type41 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type42 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type42 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type43 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type43 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type44 { get; set; } + public global::Google.Gemini.VideoMetadata? Type44 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type45 { get; set; } + public double? Type45 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type46 { get; set; } + public global::Google.Gemini.ExecutableCode? Type46 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type47 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type47 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type48 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type48 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type49 { get; set; } + public global::System.Collections.Generic.IList? Type49 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type50 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type50 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type51 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type51 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type52 { get; set; } + public global::System.Collections.Generic.IList? Type52 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type53 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type53 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type54 { get; set; } + public global::System.Collections.Generic.IList? Type54 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type55 { get; set; } + public global::Google.Gemini.SafetyRating? Type55 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type56 { get; set; } + public global::Google.Gemini.CitationMetadata? Type56 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type57 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type57 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type58 { get; set; } + public global::Google.Gemini.LogprobsResult? Type58 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type59 { get; set; } + public global::Google.Gemini.Content? Type59 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type60 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type60 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type61 { get; set; } + public global::System.Collections.Generic.IList? Type61 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type62 { get; set; } + public global::Google.Gemini.CitationSource? Type62 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type63 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type63 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type64 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type64 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type65 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type65 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type66 { get; set; } + public global::System.Collections.Generic.IList? Type66 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type67 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type67 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type68 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type68 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type69 { get; set; } + public global::Google.Gemini.TunedModel? Type69 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type70 { get; set; } + public global::Google.Gemini.TuningTask? Type70 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type71 { get; set; } + public global::Google.Gemini.TunedModelSource? Type71 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type72 { get; set; } + public global::Google.Gemini.TunedModelState? Type72 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type73 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type73 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type74 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type74 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type75 { get; set; } + public global::Google.Gemini.Hyperparameters? Type75 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type76 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type76 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type77 { get; set; } + public global::System.Collections.Generic.Dictionary? Type77 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type78 { get; set; } + public global::Google.Gemini.FunctionResponse? Type78 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type79 { get; set; } + public global::System.Collections.Generic.IList? Type79 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type80 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type80 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type81 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type81 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type82 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type82 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type83 { get; set; } + public global::System.Collections.Generic.IList? Type83 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type84 { get; set; } + public global::System.Collections.Generic.IList? Type84 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type85 { get; set; } + public global::Google.Gemini.SafetySetting? Type85 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type86 { get; set; } + public global::Google.Gemini.ToolConfig? Type86 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type87 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type87 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type88 { get; set; } + public global::System.Collections.Generic.IList? Type88 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type89 { get; set; } + public global::Google.Gemini.Tool? Type89 { get; set; } /// /// /// - public double? Type90 { get; set; } + public global::Google.Gemini.StringList? Type90 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type91 { get; set; } + public global::Google.Gemini.UsageMetadataServiceTier? Type91 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type92 { get; set; } + public global::System.Collections.Generic.IList? Type92 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type93 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type93 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type94 { get; set; } + public global::Google.Gemini.SearchTypes? Type94 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type95 { get; set; } + public global::Google.Gemini.WebSearch? Type95 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type96 { get; set; } + public global::Google.Gemini.ImageSearch? Type96 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type97 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type97 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type98 { get; set; } + public global::Google.Gemini.McpServer? Type98 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type99 { get; set; } + public global::Google.Gemini.GoogleMaps? Type99 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type100 { get; set; } + public global::Google.Gemini.GoogleSearch? Type100 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type101 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type101 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type102 { get; set; } + public global::Google.Gemini.UrlContext? Type102 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type103 { get; set; } + public global::System.Collections.Generic.IList? Type103 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type104 { get; set; } + public global::Google.Gemini.ComputerUse? Type104 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type105 { get; set; } + public global::Google.Gemini.FileSearch? Type105 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type106 { get; set; } + public global::System.Collections.Generic.IList? Type106 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type107 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type107 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type108 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type108 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type109 { get; set; } + public global::Google.Gemini.TuningExample? Type109 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type110 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type110 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type111 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type111 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type112 { get; set; } + public global::Google.Gemini.File? Type112 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type113 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type113 { get; set; } /// /// /// - public byte[]? Type114 { get; set; } + public global::System.Collections.Generic.IList? Type114 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type115 { get; set; } + public global::Google.Gemini.Document? Type115 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type116 { get; set; } + public global::Google.Gemini.Dataset? Type116 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type117 { get; set; } + public global::Google.Gemini.TuningExamples? Type117 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type118 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type118 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type119 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type119 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type120 { get; set; } + public global::System.Collections.Generic.IList? Type120 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type121 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type121 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type122 { get; set; } + public global::Google.Gemini.Blob? Type122 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type123 { get; set; } + public byte[]? Type123 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type124 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type124 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type125 { get; set; } + public global::System.Collections.Generic.IList? Type125 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type126 { get; set; } + public global::Google.Gemini.InlinedRequest? Type126 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type127 { get; set; } + public global::Google.Gemini.GeneratedFile? Type127 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadataServiceTier? Type128 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type128 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type129 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type129 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type130 { get; set; } + public global::System.Collections.Generic.IList? Type130 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type131 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type131 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type132 { get; set; } + public global::Google.Gemini.Interval? Type132 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type133 { get; set; } + public global::Google.Gemini.ToolResponse? Type133 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type134 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type134 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type135 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type135 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type136 { get; set; } + public global::Google.Gemini.Empty? Type136 { get; set; } /// /// /// @@ -580,575 +580,575 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.FunctionResponse? Type138 { get; set; } + public global::System.Collections.Generic.IList? Type138 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type139 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type139 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type140 { get; set; } + public global::System.Collections.Generic.IList? Type140 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type141 { get; set; } + public global::Google.Gemini.Model? Type141 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type142 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type142 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type143 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type143 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type144 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type144 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type145 { get; set; } + public global::System.Collections.Generic.IList? Type145 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type146 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type146 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type147 { get; set; } + public global::Google.Gemini.FunctionCall? Type147 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type148 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type148 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type149 { get; set; } + public global::System.Collections.Generic.IList? Type149 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type150 { get; set; } + public global::Google.Gemini.Part? Type150 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type151 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type151 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type152 { get; set; } + public global::System.Collections.Generic.IList? Type152 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type153 { get; set; } + public global::Google.Gemini.CachedContent? Type153 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type154 { get; set; } + public global::System.Collections.Generic.IList? Type154 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type155 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type155 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type156 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type156 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type157 { get; set; } + public global::Google.Gemini.BatchStats? Type157 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type158 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type158 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type159 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type159 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type160 { get; set; } + public global::System.Collections.Generic.Dictionary? Type160 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type161 { get; set; } + public global::System.Collections.Generic.IList? Type161 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type162 { get; set; } + public global::Google.Gemini.SchemaType? Type162 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type163 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type163 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type164 { get; set; } + public global::Google.Gemini.LatLng? Type164 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type165 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type165 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type166 { get; set; } + public global::Google.Gemini.ToolCall? Type166 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type167 { get; set; } + public global::Google.Gemini.FileData? Type167 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type168 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type168 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type169 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type169 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type170 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type170 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type171 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type171 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type172 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type172 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type173 { get; set; } + public global::Google.Gemini.Permission? Type173 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type174 { get; set; } + public global::Google.Gemini.PermissionRole? Type174 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type175 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type175 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type176 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type176 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type177 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type177 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type178 { get; set; } + public global::Google.Gemini.CustomMetadata? Type178 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type179 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type179 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type180 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type180 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type181 { get; set; } + public global::System.Collections.Generic.IList? Type181 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type182 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type182 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type183 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type183 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type184 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type184 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type185 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type185 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type186 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type186 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type187 { get; set; } + public global::System.Collections.Generic.IList? Type187 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type188 { get; set; } + public global::Google.Gemini.FileSearchStore? Type188 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type189 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? 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.GroundingMetadata? Type191 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type191 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type193 { get; set; } + public global::Google.Gemini.DocumentState? Type193 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type194 { get; set; } + public global::Google.Gemini.FileState? Type194 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type195 { get; set; } + public global::Google.Gemini.FileSource? Type195 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type196 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type196 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type197 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type197 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type198 { get; set; } + public global::System.Collections.Generic.IList? Type198 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type199 { get; set; } + public global::Google.Gemini.Corpus? Type199 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type200 { get; set; } + public global::Google.Gemini.Operation? Type200 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type201 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type201 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type202 { get; set; } + public global::System.Collections.Generic.IList? Type202 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type203 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type203 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type204 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type204 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type205 { get; set; } + public global::System.Collections.Generic.IList? Type205 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type206 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type206 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type207 { get; set; } + public global::Google.Gemini.VoiceConfig? Type207 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type208 { get; set; } + public global::Google.Gemini.TopCandidates? Type208 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type209 { get; set; } + public global::System.Collections.Generic.IList? Type209 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type210 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type210 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type211 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type211 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type212 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type212 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type213 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type213 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type214 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type214 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type215 { get; set; } + public global::System.Collections.Generic.IList? Type215 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type216 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type216 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type217 { get; set; } + public global::System.Collections.Generic.IList? Type217 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type218 { get; set; } + public global::Google.Gemini.InlinedResponses? Type218 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type219 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type219 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type220 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type220 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type221 { get; set; } + public global::System.Collections.Generic.IList? Type221 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type222 { get; set; } + public global::System.Collections.Generic.IList? Type222 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type223 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type223 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type224 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type224 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type225 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type225 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type226 { get; set; } + public global::System.Collections.Generic.IList? Type226 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type228 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type228 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type229 { get; set; } + public global::System.Collections.Generic.IList? Type229 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type230 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type230 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type231 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type231 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type232 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type232 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type233 { get; set; } + public global::System.Collections.Generic.IList? Type233 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type234 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type234 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type235 { get; set; } + public global::System.Collections.Generic.IList? Type235 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType29 { get; set; } + public global::System.Collections.Generic.List? ListType29 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType38 { get; set; } + public global::System.Collections.Generic.List? ListType38 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType39 { get; set; } + public global::System.Collections.Generic.List? ListType39 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType40 { get; set; } + public global::System.Collections.Generic.List? ListType40 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType41 { get; set; } + public global::System.Collections.Generic.List? ListType41 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType42 { get; set; } + public global::System.Collections.Generic.List? ListType42 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType43 { get; set; } + public global::System.Collections.Generic.List? ListType43 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType44 { get; set; } + public global::System.Collections.Generic.List? ListType44 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index 1ebf359da..337d232d4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class BatchStats { - /// - /// Output only. The number of requests in the batch.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } - /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -36,6 +29,13 @@ public sealed partial class BatchStats [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] public string? FailedRequestCount { get; set; } + /// + /// Output only. The number of requests in the batch.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,10 +45,6 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests in the batch.
- /// Included only in responses - /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -61,19 +57,23 @@ public sealed partial class BatchStats /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// + /// + /// Output only. The number of requests in the batch.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? requestCount, string? successfulRequestCount, string? pendingRequestCount, - string? failedRequestCount) + string? failedRequestCount, + string? requestCount) { - this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; this.FailedRequestCount = failedRequestCount; + this.RequestCount = requestCount; } /// 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 662925bbd..17621aee8 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 +9,10 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { 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. + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// Output only. Creation time of the cache entry.
@@ -28,18 +21,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } - - /// - /// Input only. New TTL for this resource, input only. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { 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. /// @@ -54,16 +35,17 @@ public sealed partial class CachedContent public string? UpdateTime { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -77,6 +59,24 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { 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. The content to cache. /// @@ -92,23 +92,13 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// 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. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// /// /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -116,11 +106,12 @@ public sealed partial class CachedContent /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// - /// - /// 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. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -128,6 +119,15 @@ public sealed partial class CachedContent /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// /// Optional. Input only. Immutable. The content to cache. /// @@ -135,30 +135,30 @@ public sealed partial class CachedContent [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - string? name, - string? expireTime, - string? createTime, global::System.Collections.Generic.IList? tools, - string? ttl, + string? createTime, global::Google.Gemini.Content? systemInstruction, string? updateTime, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, - string? model, + string? expireTime, + string? name, global::Google.Gemini.ToolConfig? toolConfig, string? displayName, + string? model, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + string? ttl, global::System.Collections.Generic.IList? contents) { - this.Name = name; - this.ExpireTime = expireTime; - this.CreateTime = createTime; this.Tools = tools; - this.Ttl = ttl; + this.CreateTime = createTime; this.SystemInstruction = systemInstruction; this.UpdateTime = updateTime; - this.UsageMetadata = usageMetadata; - this.Model = model; + this.ExpireTime = expireTime; + this.Name = name; this.ToolConfig = toolConfig; this.DisplayName = displayName; + this.Model = model; + this.UsageMetadata = usageMetadata; + this.Ttl = ttl; this.Contents = contents; } 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 a75b5825f..abefdd848 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 @@ -9,71 +9,71 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// Output only. Token count for this candidate.
+ /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// - /// Logprobs Result + /// Output only. Average log probability score of the candidate.
+ /// 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("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// Metadata related to url context retrieval tool. + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// A collection of source attributions for a piece of content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [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.
- /// Included only in responses + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + 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.
+ /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] + public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// - /// Output only. Average log probability score of the candidate.
+ /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { 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.
+ /// Output only. Token count for this candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] - public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } + [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. @@ -82,10 +82,10 @@ public sealed partial class Candidate public global::Google.Gemini.Content? Content { get; set; } /// - /// A collection of source attributions for a piece of content. + /// Metadata returned to client when grounding is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { 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 @@ -96,77 +96,77 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// Output only. Token count for this candidate.
- /// Included only in responses - /// - /// - /// Logprobs Result - /// - /// - /// Metadata returned to client when grounding is enabled. - /// - /// - /// Metadata related to url context retrieval tool. - /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. - /// /// /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// + /// Output only. Average log probability score of the candidate.
/// Included only in responses /// + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// /// /// Output only. Index of the candidate in the list of response candidates.
/// Included only in responses /// - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses + /// + /// A collection of source attributions for a piece of content. + /// + /// + /// Metadata related to url context retrieval tool. /// /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// + /// + /// 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 + /// + /// + /// 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. /// - /// - /// A collection of source attributions for a piece of content. + /// + /// Metadata returned to client when grounding is enabled. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - int? tokenCount, - global::Google.Gemini.LogprobsResult? logprobsResult, - global::Google.Gemini.GroundingMetadata? groundingMetadata, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - global::System.Collections.Generic.IList? safetyRatings, global::System.Collections.Generic.IList? groundingAttributions, - string? finishMessage, - int? index, double? avgLogprobs, + global::System.Collections.Generic.IList? safetyRatings, + int? index, + global::Google.Gemini.CitationMetadata? citationMetadata, + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, global::Google.Gemini.CandidateFinishReason? finishReason, + global::Google.Gemini.LogprobsResult? logprobsResult, + string? finishMessage, + int? tokenCount, global::Google.Gemini.Content? content, - global::Google.Gemini.CitationMetadata? citationMetadata) + global::Google.Gemini.GroundingMetadata? groundingMetadata) { - this.TokenCount = tokenCount; - this.LogprobsResult = logprobsResult; - this.GroundingMetadata = groundingMetadata; - this.UrlContextMetadata = urlContextMetadata; - this.SafetyRatings = safetyRatings; this.GroundingAttributions = groundingAttributions; - this.FinishMessage = finishMessage; - this.Index = index; this.AvgLogprobs = avgLogprobs; + this.SafetyRatings = safetyRatings; + this.Index = index; + this.CitationMetadata = citationMetadata; + this.UrlContextMetadata = urlContextMetadata; this.FinishReason = finishReason; + this.LogprobsResult = logprobsResult; + this.FinishMessage = finishMessage; + this.TokenCount = tokenCount; this.Content = content; - this.CitationMetadata = citationMetadata; + 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 25761f507..018364af1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class CitationSource { - /// - /// Optional. URI that is attributed as a source for a portion of the text. - /// - [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. /// @@ -32,6 +26,12 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("license")] public string? License { get; set; } + /// + /// Optional. URI that is attributed as a source for a portion of the text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,9 +41,6 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// Optional. URI that is attributed as a source for a portion of the text. - /// /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// @@ -53,19 +50,22 @@ 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. /// + /// + /// Optional. URI that is attributed as a source for a portion of the text. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - string? uri, int? startIndex, int? endIndex, - string? license) + string? license, + string? uri) { - this.Uri = uri; this.StartIndex = startIndex; this.EndIndex = endIndex; this.License = license; + this.Uri = uri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs index 8af2a76fa..590acbeea 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs @@ -14,6 +14,12 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonPropertyName("output")] public string? Output { get; set; } + /// + /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. Outcome of the code execution. /// @@ -21,12 +27,6 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } - /// - /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class CodeExecutionResult /// /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// - /// - /// Required. Outcome of the code execution. - /// /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// + /// + /// Required. Outcome of the code execution. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( string? output, - global::Google.Gemini.CodeExecutionResultOutcome? outcome, - string? id) + string? id, + global::Google.Gemini.CodeExecutionResultOutcome? outcome) { this.Output = output; - this.Outcome = outcome; this.Id = id; + this.Outcome = outcome; } /// 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 3c156019a..8cea29e52 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class Corpus { - /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -35,6 +28,13 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,10 +44,6 @@ public sealed partial class Corpus /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses - /// /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -59,19 +55,23 @@ public sealed partial class Corpus /// /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? createTime, string? updateTime, string? name, - string? displayName) + string? displayName, + string? createTime) { - this.CreateTime = createTime; this.UpdateTime = updateTime; this.Name = name; this.DisplayName = displayName; + this.CreateTime = createTime; } /// 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 4208a337c..387bd46b8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class CountTokensResponse { - /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } - /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// @@ -34,6 +27,13 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + /// + /// Output only. List of modalities that were processed in the cached content.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,10 +43,6 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses - /// /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// @@ -57,19 +53,23 @@ public sealed partial class CountTokensResponse /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// + /// + /// Output only. List of modalities that were processed in the cached content.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - global::System.Collections.Generic.IList? cacheTokensDetails, int? totalTokens, int? cachedContentTokenCount, - global::System.Collections.Generic.IList? promptTokensDetails) + global::System.Collections.Generic.IList? promptTokensDetails, + global::System.Collections.Generic.IList? cacheTokensDetails) { - this.CacheTokensDetails = cacheTokensDetails; this.TotalTokens = totalTokens; this.CachedContentTokenCount = cachedContentTokenCount; this.PromptTokensDetails = promptTokensDetails; + this.CacheTokensDetails = cacheTokensDetails; } /// 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 3c2f385bd..ac711ce68 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 @@ -9,34 +9,34 @@ namespace Google.Gemini public sealed partial class CustomLongRunningOperation { /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// 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 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// 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 NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - object? metadata, - string? name, - bool? done, + object? response, global::Google.Gemini.Status? error, - object? response) + string? name, + object? metadata, + bool? done) { - this.Metadata = metadata; + this.Response = response; + this.Error = error; this.Name = name; + this.Metadata = metadata; this.Done = done; - this.Error = error; - this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index 006baaacc..326ddc5c1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class CustomMetadata { - /// - /// User provided string values assigned to a single metadata key. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } - /// /// Required. The key of the metadata to store. /// [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } + /// + /// User provided string values assigned to a single metadata key. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.StringList? StringListValue { get; set; } + /// /// The string value of the metadata to store. /// @@ -41,12 +41,12 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// User provided string values assigned to a single metadata key. - /// /// /// Required. The key of the metadata to store. /// + /// + /// User provided string values assigned to a single metadata key. + /// /// /// The string value of the metadata to store. /// @@ -57,13 +57,13 @@ public sealed partial class CustomMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - global::Google.Gemini.StringList? stringListValue, string? key, + global::Google.Gemini.StringList? stringListValue, string? stringValue, float? numericValue) { - this.StringListValue = stringListValue; this.Key = key; + this.StringListValue = stringListValue; this.StringValue = stringValue; this.NumericValue = numericValue; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index cf2ee754b..7a4a75568 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The Timestamp of when the `Document` was created.
@@ -23,10 +22,11 @@ public sealed partial class Document public string? CreateTime { get; set; } /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. @@ -34,6 +34,13 @@ public sealed partial class Document [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.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + /// /// Output only. The mime type of the Document.
/// Included only in responses @@ -42,11 +49,10 @@ public sealed partial class Document public string? MimeType { 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; } /// /// Output only. Current state of the `Document`.
@@ -56,12 +62,6 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter))] public global::Google.Gemini.DocumentState? State { get; set; } - /// - /// 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; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -71,56 +71,56 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// /// /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + /// Output only. The size of raw bytes ingested into 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 mime type of the Document.
/// Included only in responses /// - /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses + /// + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// /// /// Output only. Current state 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` - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? updateTime, - string? createTime, string? displayName, + string? createTime, + string? sizeBytes, global::System.Collections.Generic.IList? customMetadata, + string? updateTime, string? mimeType, - string? sizeBytes, - global::Google.Gemini.DocumentState? state, - string? name) + string? name, + global::Google.Gemini.DocumentState? state) { - this.UpdateTime = updateTime; - this.CreateTime = createTime; this.DisplayName = displayName; + this.CreateTime = createTime; + this.SizeBytes = sizeBytes; this.CustomMetadata = customMetadata; + this.UpdateTime = updateTime; this.MimeType = mimeType; - this.SizeBytes = sizeBytes; - this.State = state; this.Name = name; + this.State = state; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs index a57fba7a2..26462678a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class DynamicRetrievalConfig { + /// + /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] + public float? DynamicThreshold { get; set; } + /// /// The mode of the predictor to be used in dynamic retrieval. /// @@ -15,12 +21,6 @@ public sealed partial class DynamicRetrievalConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter))] public global::Google.Gemini.DynamicRetrievalConfigMode? Mode { get; set; } - /// - /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] - public float? DynamicThreshold { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class DynamicRetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// The mode of the predictor to be used in dynamic retrieval. - /// /// /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. /// + /// + /// The mode of the predictor to be used in dynamic retrieval. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public DynamicRetrievalConfig( - global::Google.Gemini.DynamicRetrievalConfigMode? mode, - float? dynamicThreshold) + float? dynamicThreshold, + global::Google.Gemini.DynamicRetrievalConfigMode? mode) { - this.Mode = mode; this.DynamicThreshold = dynamicThreshold; + this.Mode = mode; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs index 3a57a97cd..769f79f33 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 @@ -9,11 +9,24 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } + + /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } + + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Configures the input to the batch request. @@ -21,6 +34,12 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + /// + /// Stats about the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + /// /// Output only. The state of the batch.
/// Included only in responses @@ -36,17 +55,16 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Output only. The time at which the batch was created.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The time at which the batch was last updated.
@@ -56,29 +74,11 @@ public sealed partial class EmbedContentBatch public string? UpdateTime { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - - /// - /// Stats about the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } - - /// - /// Required. The user-defined name of this batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,13 +89,23 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses + /// + /// + /// Output only. The time at which the batch was created.
/// Included only in responses /// /// /// Configures the input to the batch request. /// + /// + /// Stats about the batch. + /// /// /// Output only. The state of the batch.
/// Included only in responses @@ -103,57 +113,47 @@ public sealed partial class EmbedContentBatch /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Stats about the batch. - /// /// /// Required. The user-defined name of this batch. /// - /// - /// Output only. The time at which the batch processing completed.
+ /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - string? name, + string? priority, + string? endTime, + string? createTime, global::Google.Gemini.InputEmbedContentConfig? inputConfig, + global::Google.Gemini.EmbedContentBatchStats? batchStats, global::Google.Gemini.EmbedContentBatchState? state, global::Google.Gemini.EmbedContentBatchOutput? output, - string? createTime, - string? priority, - string? updateTime, string? model, - global::Google.Gemini.EmbedContentBatchStats? batchStats, string? displayName, - string? endTime) + string? updateTime, + string? name) { - this.Name = name; + this.Priority = priority; + this.EndTime = endTime; + this.CreateTime = createTime; this.InputConfig = inputConfig; + this.BatchStats = batchStats; this.State = state; this.Output = output; - this.CreateTime = createTime; - this.Priority = priority; - this.UpdateTime = updateTime; this.Model = model; - this.BatchStats = batchStats; this.DisplayName = displayName; - this.EndTime = endTime; + this.UpdateTime = updateTime; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs index c7ac9b5f4..973d4848e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class EmbedContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class EmbedContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses) + global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs index 64a41a76a..52658226f 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 @@ -15,6 +15,13 @@ public sealed partial class EmbedContentBatchStats [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] public string? RequestCount { get; set; } + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } + /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -29,13 +36,6 @@ public sealed partial class EmbedContentBatchStats [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 /// @@ -49,6 +49,10 @@ public sealed partial class EmbedContentBatchStats /// Output only. The number of requests in the batch.
/// Included only in responses /// + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -57,23 +61,19 @@ public sealed partial class EmbedContentBatchStats /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( string? requestCount, + string? failedRequestCount, string? successfulRequestCount, - string? pendingRequestCount, - string? failedRequestCount) + string? pendingRequestCount) { this.RequestCount = requestCount; + this.FailedRequestCount = failedRequestCount; this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; - 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 460542f21..2f6eaf3e5 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 @@ -15,23 +15,23 @@ public sealed partial class EmbedContentConfig public string? Title { get; set; } /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// Optional. The task type of the embedding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] - public bool? AutoTruncate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] + public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } /// - /// Optional. Whether to enable OCR for document content. + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] + public bool? AutoTruncate { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] - public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } /// /// Optional. Whether to extract audio from video content. @@ -40,10 +40,10 @@ public sealed partial class EmbedContentConfig public bool? AudioTrackExtraction { get; set; } /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. + /// Optional. Whether to enable OCR for document content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - public int? OutputDimensionality { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -57,38 +57,38 @@ public sealed partial class EmbedContentConfig /// /// Optional. The title for the text. /// + /// + /// Optional. The task type of the embedding. + /// /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - /// - /// Optional. Whether to enable OCR for document content. - /// - /// - /// Optional. The task type of the embedding. + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// /// /// Optional. 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. + /// + /// Optional. Whether to enable OCR for document content. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( string? title, - bool? autoTruncate, - bool? documentOcr, global::Google.Gemini.EmbedContentConfigTaskType? taskType, + bool? autoTruncate, + int? outputDimensionality, bool? audioTrackExtraction, - int? outputDimensionality) + bool? documentOcr) { this.Title = title; - this.AutoTruncate = autoTruncate; - this.DocumentOcr = documentOcr; this.TaskType = taskType; - this.AudioTrackExtraction = audioTrackExtraction; + this.AutoTruncate = autoTruncate; this.OutputDimensionality = outputDimensionality; + this.AudioTrackExtraction = audioTrackExtraction; + this.DocumentOcr = documentOcr; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs index 604286706..26012820d 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 @@ -17,32 +17,26 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public int? OutputDimensionality { get; set; } - /// - /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } - /// /// Configurations for the EmbedContent request. /// [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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`). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] + [global::System.Obsolete("This property marked as deprecated.")] + public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } + /// /// 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. /// @@ -50,6 +44,12 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public string? Title { get; set; } + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -62,23 +62,23 @@ public sealed partial class EmbedContentRequest /// /// 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. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( global::Google.Gemini.EmbedContentConfig? embedContentConfig, - string? model, - global::Google.Gemini.Content? content) + global::Google.Gemini.Content? content, + string? model) { this.EmbedContentConfig = embedContentConfig; - this.Model = model; this.Content = content; + this.Model = model; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs index 3838dc09d..0ee693b07 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class EmbedContentResponse { - /// - /// A list of floats representing an embedding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] - public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } - /// /// Metadata on the usage of the embedding request. /// [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// + /// A list of floats representing an embedding. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] + public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class EmbedContentResponse /// /// Initializes a new instance of the class. /// - /// - /// A list of floats representing an embedding. - /// /// /// Metadata on the usage of the embedding request. /// + /// + /// A list of floats representing an embedding. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentResponse( - global::Google.Gemini.ContentEmbedding? embedding, - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, + global::Google.Gemini.ContentEmbedding? embedding) { - this.Embedding = embedding; this.UsageMetadata = usageMetadata; + this.Embedding = embedding; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs index 3be926cd7..5c161b4e0 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 1223ced8b..f9f4e11ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ExecutableCode { + /// + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. Programming language of the `code`. /// @@ -15,12 +21,6 @@ public sealed partial class ExecutableCode [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter))] public global::Google.Gemini.ExecutableCodeLanguage? Language { get; set; } - /// - /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Required. The code to be executed. /// @@ -36,12 +36,12 @@ public sealed partial class ExecutableCode /// /// Initializes a new instance of the class. /// - /// - /// Required. Programming language of the `code`. - /// /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// + /// + /// Required. Programming language of the `code`. + /// /// /// Required. The code to be executed. /// @@ -49,12 +49,12 @@ public sealed partial class ExecutableCode [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( - global::Google.Gemini.ExecutableCodeLanguage? language, string? id, + global::Google.Gemini.ExecutableCodeLanguage? language, string? code) { - this.Language = language; this.Id = id; + this.Language = language; this.Code = code; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs index b70719472..0f803784c 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 @@ -9,11 +9,19 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Output only. Processing state 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("state")] + [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; } /// /// Output only. The uri of the `File`.
@@ -23,36 +31,36 @@ public sealed partial class File public string? Uri { get; set; } /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// /// Output only. MIME type of the file.
@@ -62,46 +70,38 @@ public sealed partial class File public string? MimeType { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. Processing state of the File.
+ /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] - public global::Google.Gemini.FileState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// Metadata for a video `File`. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } - - /// - /// Source of the File. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] - public global::Google.Gemini.FileSource? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,90 +112,90 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// + /// Output only. Processing state of the File.
/// Included only in responses /// + /// + /// Source of the File. + /// /// /// Output only. The uri of the `File`.
/// Included only in responses /// + /// + /// Metadata for a video `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` + /// + /// + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses + /// /// /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - /// - /// 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 download uri of the `File`.
+ /// Included only in responses + /// + /// + /// Output only. MIME type of the file.
+ /// Included only in responses /// /// /// Output only. The timestamp of when the `File` was last updated.
/// 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. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - /// - /// Output only. MIME type of the file.
- /// Included only in responses + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// Output only. Size of the file in bytes.
/// Included only in responses /// - /// - /// Output only. Processing state of the File.
- /// Included only in responses - /// - /// - /// Metadata for a video `File`. - /// /// /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Output only. The download uri of the `File`.
- /// Included only in responses - /// - /// - /// Source of the File. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - byte[]? sha256Hash, + global::Google.Gemini.FileState? state, + global::Google.Gemini.FileSource? source, string? uri, + global::Google.Gemini.VideoFileMetadata? videoMetadata, + string? name, + byte[]? sha256Hash, string? displayName, - global::Google.Gemini.Status? error, + string? downloadUri, + string? mimeType, string? updateTime, - string? name, string? expirationTime, - string? mimeType, + global::Google.Gemini.Status? error, string? sizeBytes, - global::Google.Gemini.FileState? state, - global::Google.Gemini.VideoFileMetadata? videoMetadata, - string? createTime, - string? downloadUri, - global::Google.Gemini.FileSource? source) + string? createTime) { - this.Sha256Hash = sha256Hash; + this.State = state; + this.Source = source; this.Uri = uri; + this.VideoMetadata = videoMetadata; + this.Name = name; + this.Sha256Hash = sha256Hash; this.DisplayName = displayName; - this.Error = error; + this.DownloadUri = downloadUri; + this.MimeType = mimeType; this.UpdateTime = updateTime; - this.Name = name; this.ExpirationTime = expirationTime; - this.MimeType = mimeType; + this.Error = error; this.SizeBytes = sizeBytes; - this.State = state; - this.VideoMetadata = videoMetadata; this.CreateTime = createTime; - this.DownloadUri = downloadUri; - this.Source = source; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs index 6b607719a..0f185b2c7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FileData { - /// - /// Required. URI. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileUri")] - public string? FileUri { get; set; } - /// /// Optional. The IANA standard MIME type of the source data. /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Required. URI. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileUri")] + public string? FileUri { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FileData /// /// Initializes a new instance of the class. /// - /// - /// Required. URI. - /// /// /// Optional. The IANA standard MIME type of the source data. /// + /// + /// Required. URI. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileData( - string? fileUri, - string? mimeType) + string? mimeType, + string? fileUri) { - this.FileUri = fileUri; this.MimeType = mimeType; + this.FileUri = fileUri; } /// 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 941bbd059..1dbcfc10f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] - public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } - /// /// Optional. The number of semantic retrieval chunks to retrieve. /// @@ -26,6 +20,12 @@ public sealed partial class FileSearch [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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` - /// /// /// Optional. The number of semantic retrieval chunks to retrieve. /// /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// + /// + /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - global::System.Collections.Generic.IList? fileSearchStoreNames, int? topK, - string? metadataFilter) + string? metadataFilter, + global::System.Collections.Generic.IList? fileSearchStoreNames) { - this.FileSearchStoreNames = fileSearchStoreNames; this.TopK = topK; this.MetadataFilter = metadataFilter; + this.FileSearchStoreNames = fileSearchStoreNames; } /// 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 c0b3afdd2..097544627 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// 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("activeDocumentsCount")] - public string? ActiveDocumentsCount { 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.
@@ -29,6 +29,12 @@ public sealed partial class FileSearchStore [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; } + /// /// 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" /// @@ -36,38 +42,32 @@ public sealed partial class FileSearchStore public string? DisplayName { get; set; } /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// 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("sizeBytes")] - public string? SizeBytes { 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("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,63 +78,63 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// + /// 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 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. + /// /// /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// 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 number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? updateTime, - string? activeDocumentsCount, - string? failedDocumentsCount, - string? displayName, + string? createTime, string? sizeBytes, + string? failedDocumentsCount, string? embeddingModel, - string? pendingDocumentsCount, - string? createTime, - string? name) + string? displayName, + string? activeDocumentsCount, + string? name, + string? updateTime, + string? pendingDocumentsCount) { - this.UpdateTime = updateTime; - this.ActiveDocumentsCount = activeDocumentsCount; - this.FailedDocumentsCount = failedDocumentsCount; - this.DisplayName = displayName; + this.CreateTime = createTime; this.SizeBytes = sizeBytes; + this.FailedDocumentsCount = failedDocumentsCount; this.EmbeddingModel = embeddingModel; - this.PendingDocumentsCount = pendingDocumentsCount; - this.CreateTime = createTime; + this.DisplayName = displayName; + this.ActiveDocumentsCount = activeDocumentsCount; this.Name = name; + this.UpdateTime = updateTime; + this.PendingDocumentsCount = pendingDocumentsCount; } /// 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 d8965a5f9..310f34cc6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// @@ -26,6 +20,12 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// /// /// Optional. The function parameters and values in JSON object format. /// + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - string? id, string? name, - object? args) + object? args, + string? id) { - this.Id = id; this.Name = name; this.Args = args; + this.Id = id; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs index 4f2fd7633..34bb1ab5c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FunctionCallingConfig { + /// + /// 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("allowedFunctionNames")] + public global::System.Collections.Generic.IList? AllowedFunctionNames { get; set; } + /// /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. /// @@ -15,12 +21,6 @@ public sealed partial class FunctionCallingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter))] public global::Google.Gemini.FunctionCallingConfigMode? Mode { get; set; } - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("allowedFunctionNames")] - public global::System.Collections.Generic.IList? AllowedFunctionNames { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class FunctionCallingConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. - /// /// /// 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. /// + /// + /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCallingConfig( - global::Google.Gemini.FunctionCallingConfigMode? mode, - global::System.Collections.Generic.IList? allowedFunctionNames) + global::System.Collections.Generic.IList? allowedFunctionNames, + global::Google.Gemini.FunctionCallingConfigMode? mode) { - this.Mode = mode; this.AllowedFunctionNames = allowedFunctionNames; + this.Mode = mode; } /// 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 ee480b671..e18899371 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -8,6 +8,18 @@ namespace Google.Gemini /// public sealed partial class FunctionDeclaration { + /// + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } + + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } + /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// @@ -15,10 +27,10 @@ public sealed partial class FunctionDeclaration public global::Google.Gemini.Schema? Parameters { 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; } /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. @@ -28,10 +40,10 @@ public sealed partial class FunctionDeclaration public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { 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`. + /// 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("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Required. A brief description of the function. @@ -39,18 +51,6 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { get; set; } - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } - - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("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. /// + /// + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - /// - /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// + /// Required. 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. /// /// /// Required. A brief description of the function. /// - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. - /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - global::Google.Gemini.Schema? parameters, - string? name, - global::Google.Gemini.FunctionDeclarationBehavior? behavior, object? responseJsonSchema, - string? description, object? parametersJsonSchema, - global::Google.Gemini.Schema? response) + global::Google.Gemini.Schema? parameters, + global::Google.Gemini.Schema? response, + global::Google.Gemini.FunctionDeclarationBehavior? behavior, + string? name, + string? description) { - this.Parameters = parameters; - this.Name = name; - this.Behavior = behavior; this.ResponseJsonSchema = responseJsonSchema; - this.Description = description; this.ParametersJsonSchema = parametersJsonSchema; + this.Parameters = parameters; this.Response = response; + this.Behavior = behavior; + this.Name = name; + this.Description = description; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index e05d8f9eb..f2208ac36 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -8,6 +8,18 @@ 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } + + /// + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] + public bool? WillContinue { get; set; } + /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// @@ -27,18 +39,6 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } - - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] - public bool? WillContinue { get; set; } - /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// @@ -54,6 +54,12 @@ 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. + /// + /// + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// @@ -63,12 +69,6 @@ public sealed partial class FunctionResponse /// /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. - /// - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. - /// /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// @@ -76,18 +76,18 @@ public sealed partial class FunctionResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( + object? response, + bool? willContinue, global::System.Collections.Generic.IList? parts, string? name, global::Google.Gemini.FunctionResponseScheduling? scheduling, - object? response, - bool? willContinue, string? id) { + this.Response = response; + this.WillContinue = willContinue; this.Parts = parts; this.Name = name; this.Scheduling = scheduling; - this.Response = response; - this.WillContinue = willContinue; this.Id = id; } 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 cf5fa9f3e..dff1b7d01 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 @@ -9,30 +9,24 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } - - /// - /// Required. The user-defined name of this batch. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. The state of the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -41,10 +35,17 @@ public sealed partial class GenerateContentBatch public string? Model { get; set; } /// - /// Stats about the batch. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
@@ -54,24 +55,17 @@ public sealed partial class GenerateContentBatch public string? Name { get; set; } /// - /// Configures the input to the batch request. + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// - /// Output only. The state of the batch.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] - public global::Google.Gemini.GenerateContentBatchState? State { get; set; } - - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// /// Output only. The time at which the batch was created.
@@ -80,6 +74,12 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] 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; } + /// /// 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. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// Required. The user-defined name of this batch. + /// + /// Stats about the batch. /// - /// - /// Output only. The time at which the batch processing completed.
+ /// + /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Stats about the batch. + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - /// - /// Configures the input to the batch request. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Output only. The state of the batch.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// + /// + /// Configures the input to the batch request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? priority, - string? displayName, - string? endTime, - string? updateTime, - string? model, global::Google.Gemini.BatchStats? batchStats, - string? name, - global::Google.Gemini.InputConfig? inputConfig, global::Google.Gemini.GenerateContentBatchState? state, global::Google.Gemini.GenerateContentBatchOutput? output, - string? createTime) + string? model, + string? displayName, + string? updateTime, + string? name, + string? priority, + string? endTime, + string? createTime, + global::Google.Gemini.InputConfig? inputConfig) { - this.Priority = priority; - this.DisplayName = displayName; - this.EndTime = endTime; - this.UpdateTime = updateTime; - this.Model = model; this.BatchStats = batchStats; - this.Name = name; - this.InputConfig = inputConfig; this.State = state; this.Output = output; + this.Model = model; + this.DisplayName = displayName; + this.UpdateTime = updateTime; + this.Name = name; + this.Priority = priority; + this.EndTime = endTime; this.CreateTime = createTime; + this.InputConfig = inputConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs index ca3508f3a..12a631bfb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GenerateContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class GenerateContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class GenerateContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedResponses? inlinedResponses) + global::Google.Gemini.InlinedResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs index 3a502656e..1cf0b8919 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] - public string? CachedContent { get; set; } - - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. @@ -27,22 +21,22 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// 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("store")] - public bool? Store { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { 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. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -50,12 +44,6 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("model")] public string? Model { get; set; } - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } - /// /// Optional. The service tier of the request. /// @@ -64,10 +52,22 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,61 +78,61 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - string? cachedContent, - global::System.Collections.Generic.IList? tools, + global::System.Collections.Generic.IList? contents, global::System.Collections.Generic.IList? safetySettings, - bool? store, + string? cachedContent, + global::Google.Gemini.ToolConfig? toolConfig, global::Google.Gemini.Content? systemInstruction, - global::Google.Gemini.GenerationConfig? generationConfig, string? model, - global::Google.Gemini.ToolConfig? toolConfig, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::System.Collections.Generic.IList? contents) + global::Google.Gemini.GenerationConfig? generationConfig, + bool? store, + global::System.Collections.Generic.IList? tools) { - this.CachedContent = cachedContent; - this.Tools = tools; + this.Contents = contents; this.SafetySettings = safetySettings; - this.Store = store; + this.CachedContent = cachedContent; + this.ToolConfig = toolConfig; this.SystemInstruction = systemInstruction; - this.GenerationConfig = generationConfig; this.Model = model; - this.ToolConfig = toolConfig; this.ServiceTier = serviceTier; - this.Contents = contents; + this.GenerationConfig = generationConfig; + this.Store = store; + this.Tools = tools; } /// 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 f1f2cf03c..964a5ef49 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 @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// Candidate responses from the model. + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] + public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } /// /// Output only. The model version used to generate the response.
@@ -35,16 +35,16 @@ public sealed partial class GenerateContentResponse 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. + /// Metadata on the generation request's token usage. /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// Candidate responses from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] - public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -55,11 +55,11 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Candidate responses from the model. + /// + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - /// - /// Metadata on the generation request's token usage. + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// /// /// Output only. The model version used to generate the response.
@@ -69,29 +69,29 @@ public sealed partial class GenerateContentResponse /// 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. + /// + /// Metadata on the generation request's token usage. /// - /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// + /// Candidate responses from the model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::System.Collections.Generic.IList? candidates, - global::Google.Gemini.UsageMetadata? usageMetadata, + global::Google.Gemini.PromptFeedback? promptFeedback, + global::Google.Gemini.ModelStatus? modelStatus, string? modelVersion, string? responseId, - global::Google.Gemini.ModelStatus? modelStatus, - global::Google.Gemini.PromptFeedback? promptFeedback) + global::Google.Gemini.UsageMetadata? usageMetadata, + global::System.Collections.Generic.IList? candidates) { - this.Candidates = candidates; - this.UsageMetadata = usageMetadata; + this.PromptFeedback = promptFeedback; + this.ModelStatus = modelStatus; this.ModelVersion = modelVersion; this.ResponseId = responseId; - this.ModelStatus = modelStatus; - this.PromptFeedback = promptFeedback; + this.UsageMetadata = usageMetadata; + this.Candidates = candidates; } /// 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 f270d8490..1390d7970 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 @@ -14,6 +14,12 @@ public sealed partial class GeneratedFile [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; } + /// /// MIME type of the generatedFile. /// @@ -28,12 +34,6 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] public global::Google.Gemini.GeneratedFileState? State { get; set; } - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -46,6 +46,9 @@ public sealed partial class 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. /// @@ -53,22 +56,19 @@ public sealed partial class GeneratedFile /// Output only. The state of the GeneratedFile.
/// Included only in responses /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( string? name, + global::Google.Gemini.Status? error, string? mimeType, - global::Google.Gemini.GeneratedFileState? state, - global::Google.Gemini.Status? error) + global::Google.Gemini.GeneratedFileState? state) { this.Name = name; + this.Error = error; this.MimeType = mimeType; this.State = state; - this.Error = error; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index c116f3f56..fa1ea1b8b 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 @@ -14,24 +14,6 @@ public sealed partial class GenerationConfig [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] public global::System.Collections.Generic.IList? StopSequences { 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. 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("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } - - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } - /// /// Optional. 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. /// @@ -39,22 +21,16 @@ public sealed partial class GenerationConfig public float? FrequencyPenalty { get; set; } /// - /// Config for thinking features. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } - - /// - /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// Optional. 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("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// /// Optional. Enables enhanced civic answers. It may not be available for all models. @@ -63,16 +39,29 @@ public sealed partial class GenerationConfig public bool? EnableEnhancedCivicAnswers { 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. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// - /// Config for speech generation and transcription. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] + public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } + + /// + /// Optional. The maximum 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("maxOutputTokens")] + public int? MaxOutputTokens { get; set; } + + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// /// Optional. 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. @@ -87,35 +76,34 @@ public sealed partial class GenerationConfig public bool? ResponseLogprobs { get; set; } /// - /// Config for image generation features. + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. The maximum number of tokens to 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("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// 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("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("logprobs")] + public int? Logprobs { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Optional. 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. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { 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. @@ -124,10 +112,22 @@ public sealed partial class GenerationConfig public float? PresencePenalty { 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 thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + + /// + /// Config for image generation features. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + + /// + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -141,35 +141,29 @@ public sealed partial class GenerationConfig /// /// 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. - /// - /// - /// 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. - /// - /// - /// 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. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. /// - /// - /// Config for thinking features. - /// - /// - /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// + /// Optional. 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. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// + /// Config for speech generation and transcription. /// /// /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// 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. An internal detail. Use `responseJsonSchema` rather than this field. /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. If specified, the media resolution specified will be used. + /// + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// + /// 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. @@ -177,72 +171,78 @@ public sealed partial class GenerationConfig /// /// Optional. If true, export the logprobs results in response. /// - /// - /// Config for image generation features. + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// + /// Optional. 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. 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 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. If specified, the media resolution specified will be used. - /// /// /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. - /// /// /// 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. 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 thinking features. + /// + /// + /// Config for image generation features. + /// + /// + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( global::System.Collections.Generic.IList? stopSequences, + float? frequencyPenalty, + float? temperature, + global::Google.Gemini.SpeechConfig? speechConfig, + bool? enableEnhancedCivicAnswers, object? responseJsonSchema, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, int? maxOutputTokens, global::Google.Gemini.Schema? responseSchema, - float? frequencyPenalty, - global::Google.Gemini.ThinkingConfig? thinkingConfig, - int? candidateCount, - int? logprobs, - bool? enableEnhancedCivicAnswers, - int? topK, - global::Google.Gemini.SpeechConfig? speechConfig, string? responseMimeType, bool? responseLogprobs, - global::Google.Gemini.ImageConfig? imageConfig, + global::System.Collections.Generic.IList? responseModalities, + int? topK, + int? logprobs, float? topP, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, int? seed, - global::System.Collections.Generic.IList? responseModalities, float? presencePenalty, - float? temperature) + global::Google.Gemini.ThinkingConfig? thinkingConfig, + global::Google.Gemini.ImageConfig? imageConfig, + int? candidateCount) { this.StopSequences = stopSequences; + this.FrequencyPenalty = frequencyPenalty; + this.Temperature = temperature; + this.SpeechConfig = speechConfig; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; this.ResponseJsonSchema = responseJsonSchema; + this.MediaResolution = mediaResolution; this.MaxOutputTokens = maxOutputTokens; this.ResponseSchema = responseSchema; - this.FrequencyPenalty = frequencyPenalty; - this.ThinkingConfig = thinkingConfig; - this.CandidateCount = candidateCount; - this.Logprobs = logprobs; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.TopK = topK; - this.SpeechConfig = speechConfig; this.ResponseMimeType = responseMimeType; this.ResponseLogprobs = responseLogprobs; - this.ImageConfig = imageConfig; + this.ResponseModalities = responseModalities; + this.TopK = topK; + this.Logprobs = logprobs; this.TopP = topP; - this.MediaResolution = mediaResolution; this.Seed = seed; - this.ResponseModalities = responseModalities; this.PresencePenalty = presencePenalty; - this.Temperature = temperature; + this.ThinkingConfig = thinkingConfig; + this.ImageConfig = imageConfig; + this.CandidateCount = candidateCount; } /// 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 2754ad18e..b247212b9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -9,17 +9,16 @@ namespace Google.Gemini public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { /// - /// Segment of the content. + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// - [global::System.Text.Json.Serialization.JsonPropertyName("segment")] - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] + public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } /// - /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
- /// Included only in responses + /// Segment of the content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] - public global::System.Collections.Generic.IList? RenderedParts { get; set; } + [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). @@ -28,10 +27,11 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport 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. + /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] - public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] + public global::System.Collections.Generic.IList? RenderedParts { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -42,32 +42,32 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// + /// + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// /// /// Segment of the content. /// - /// - /// 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). /// - /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// + /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( + global::System.Collections.Generic.IList? confidenceScores, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, - global::System.Collections.Generic.IList? renderedParts, global::System.Collections.Generic.IList? groundingChunkIndices, - global::System.Collections.Generic.IList? confidenceScores) + global::System.Collections.Generic.IList? renderedParts) { + this.ConfidenceScores = confidenceScores; this.Segment = segment; - this.RenderedParts = renderedParts; this.GroundingChunkIndices = groundingChunkIndices; - this.ConfidenceScores = confidenceScores; + this.RenderedParts = renderedParts; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index 06a377fbc..08eaddbc1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GoogleAiGenerativelanguageV1betaSegment { /// - /// The index of a Part object within its parent Content object. + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] - public int? PartIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. @@ -21,10 +21,10 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment 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. + /// The index of a Part object within its parent Content object. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] + public int? PartIndex { get; set; } /// /// The text corresponding to the segment from the response. @@ -41,14 +41,14 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// - /// - /// The index of a Part object within its parent Content object. + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// - /// - /// 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. @@ -57,14 +57,14 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? partIndex, - int? startIndex, int? endIndex, + int? startIndex, + int? partIndex, string? text) { - this.PartIndex = partIndex; - this.StartIndex = startIndex; this.EndIndex = endIndex; + this.StartIndex = startIndex; + this.PartIndex = partIndex; this.Text = text; } 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 3ee594d4b..0cb13ee1c 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 +8,18 @@ namespace Google.Gemini /// public sealed partial class GroundingChunk { - /// - /// Chunk from the web. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("web")] - public global::Google.Gemini.Web? Web { get; set; } - /// /// Chunk from image search. /// [global::System.Text.Json.Serialization.JsonPropertyName("image")] public global::Google.Gemini.Image? Image { get; set; } + /// + /// Chunk from 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. /// @@ -41,12 +41,12 @@ public sealed partial class GroundingChunk /// /// Initializes a new instance of the class. /// - /// - /// Chunk from the web. - /// /// /// Chunk from image search. /// + /// + /// Chunk from the web. + /// /// /// Chunk from context retrieved by the file search tool. /// @@ -57,13 +57,13 @@ public sealed partial class GroundingChunk [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.Web? web, global::Google.Gemini.Image? image, + global::Google.Gemini.Web? web, global::Google.Gemini.RetrievedContext? retrievedContext, global::Google.Gemini.Maps? maps) { - this.Web = web; this.Image = image; + this.Web = web; this.RetrievedContext = retrievedContext; this.Maps = maps; } 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 0d9bfb4c7..825b2436a 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 @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class GroundingChunkCustomMetadata { - /// - /// 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; } - /// /// A list of string values. /// [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } - /// - /// The key of the metadata. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("key")] - public string? Key { get; set; } - /// /// Optional. The string value of the metadata. /// [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] public string? StringValue { 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. /// - /// - /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. - /// /// /// A list of string values. /// - /// - /// The key of the metadata. - /// /// /// Optional. The string value of the metadata. /// + /// + /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. + /// + /// + /// The key of the metadata. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - float? numericValue, global::Google.Gemini.GroundingChunkStringList? stringListValue, - string? key, - string? stringValue) + string? stringValue, + float? numericValue, + string? key) { - this.NumericValue = numericValue; this.StringListValue = stringListValue; - this.Key = key; this.StringValue = stringValue; + 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 b9c357240..a2a8327f1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class GroundingMetadata { /// - /// List of grounding support. + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { 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; } /// /// Metadata related to retrieval in the grounding flow. @@ -27,16 +33,10 @@ public sealed partial class GroundingMetadata public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { 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. + /// List of grounding support. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { get; set; } /// /// Web search queries for the following-up web search. @@ -59,8 +59,11 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// List of grounding support. + /// + /// 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. + /// + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// /// /// Metadata related to retrieval in the grounding flow. @@ -68,11 +71,8 @@ public sealed partial class GroundingMetadata /// /// Google search entry point. /// - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. - /// - /// - /// 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 grounding support. /// /// /// Web search queries for the following-up web search. @@ -84,19 +84,19 @@ public sealed partial class GroundingMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::System.Collections.Generic.IList? groundingSupports, - global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, global::System.Collections.Generic.IList? groundingChunks, string? googleMapsWidgetContextToken, + global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + global::System.Collections.Generic.IList? groundingSupports, global::System.Collections.Generic.IList? webSearchQueries, global::System.Collections.Generic.IList? imageSearchQueries) { - this.GroundingSupports = groundingSupports; - this.RetrievalMetadata = retrievalMetadata; - this.SearchEntryPoint = searchEntryPoint; this.GroundingChunks = groundingChunks; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; + this.RetrievalMetadata = retrievalMetadata; + this.SearchEntryPoint = searchEntryPoint; + this.GroundingSupports = groundingSupports; this.WebSearchQueries = webSearchQueries; this.ImageSearchQueries = imageSearchQueries; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs index 7addc24e5..63f644120 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Hyperparameters { /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } - - /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] + public int? BatchSize { get; set; } /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. @@ -27,10 +21,16 @@ public sealed partial class Hyperparameters public int? EpochCount { get; set; } /// - /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] - public int? BatchSize { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] + public float? LearningRate { get; set; } + + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// - /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// + /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// - /// - /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. + /// + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - float? learningRateMultiplier, - float? learningRate, + int? batchSize, int? epochCount, - int? batchSize) + float? learningRate, + float? learningRateMultiplier) { - this.LearningRateMultiplier = learningRateMultiplier; - this.LearningRate = learningRate; - this.EpochCount = epochCount; this.BatchSize = batchSize; + this.EpochCount = epochCount; + this.LearningRate = learningRate; + this.LearningRateMultiplier = learningRateMultiplier; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs index 36113c479..36f43bee7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs @@ -14,18 +14,18 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } - /// - /// The image asset URL. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] - public string? ImageUri { get; set; } - /// /// The web page URI for attribution. /// [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] public string? SourceUri { get; set; } + /// + /// The image asset URL. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] + public string? ImageUri { get; set; } + /// /// The root domain of the web page that the image is from, e.g. "example.com". /// @@ -44,12 +44,12 @@ public sealed partial class Image /// /// The title of the web page that the image is from. /// - /// - /// The image asset URL. - /// /// /// The web page URI for attribution. /// + /// + /// The image asset URL. + /// /// /// The root domain of the web page that the image is from, e.g. "example.com". /// @@ -58,13 +58,13 @@ public sealed partial class Image #endif public Image( string? title, - string? imageUri, string? sourceUri, + string? imageUri, string? domain) { this.Title = title; - this.ImageUri = imageUri; this.SourceUri = sourceUri; + this.ImageUri = imageUri; this.Domain = domain; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 53badde9f..99bdd63dd 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.InlinedEmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs index c70f6aa29..a3b4bba3f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Request containing the `Content` for the model to embed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.EmbedContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request containing the `Content` for the model to embed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Request containing the `Content` for the model to embed. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request containing the `Content` for the model to embed. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - global::Google.Gemini.EmbedContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.EmbedContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs index 3815f3fd4..9a6afbda5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedRequest { - /// - /// Request to generate a completion from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.GenerateContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request to generate a completion from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.GenerateContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedRequest /// /// Initializes a new instance of the class. /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request to generate a completion from the model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedRequest( - global::Google.Gemini.GenerateContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.GenerateContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// 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 d67554e5e..4edfdb2b4 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class InlinedResponse { - /// - /// Output only. The metadata associated with the request.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// @@ -27,6 +20,13 @@ public sealed partial class InlinedResponse [global::System.Text.Json.Serialization.JsonPropertyName("response")] public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + /// + /// Output only. The metadata associated with the request.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,27 +36,27 @@ public sealed partial class InlinedResponse /// /// Initializes a new instance of the class. /// - /// - /// Output only. The metadata associated with the request.
- /// Included only in responses - /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. /// + /// + /// Output only. The metadata associated with the request.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( - object? metadata, global::Google.Gemini.Status? error, - global::Google.Gemini.GenerateContentResponse? response) + global::Google.Gemini.GenerateContentResponse? response, + object? metadata) { - this.Metadata = metadata; this.Error = error; this.Response = response; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs index c37f2158f..01a06fc30 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 acc98cfe5..d91125c9f 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 f5cb75853..53b78dd65 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.ListGeneratedFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs index 3ac3fc7f6..761cfc987 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListGeneratedFilesResponse { - /// - /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The list of `GeneratedFile`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("generatedFiles")] public global::System.Collections.Generic.IList? GeneratedFiles { get; set; } + /// + /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListGeneratedFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. - /// /// /// The list of `GeneratedFile`s. /// + /// + /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListGeneratedFilesResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? generatedFiles) + global::System.Collections.Generic.IList? generatedFiles, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.GeneratedFiles = generatedFiles; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index ade5a8ecf..ad5ab25bc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -14,18 +14,18 @@ public sealed partial class ListOperationsResponse [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } - /// - /// A list of operations that matches the specified filter in the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("operations")] - public global::System.Collections.Generic.IList? Operations { get; set; } - /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] public global::System.Collections.Generic.IList? Unreachable { get; set; } + /// + /// 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ListOperationsResponse /// /// The standard List next-page token. /// - /// - /// 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. /// + /// + /// A list of operations that matches the specified filter in the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( string? nextPageToken, - global::System.Collections.Generic.IList? operations, - global::System.Collections.Generic.IList? unreachable) + global::System.Collections.Generic.IList? unreachable, + global::System.Collections.Generic.IList? operations) { this.NextPageToken = nextPageToken; - this.Operations = operations; this.Unreachable = unreachable; + this.Operations = operations; } /// 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 0d7b89520..1c4558c4e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class LogprobsResultCandidate { - /// - /// The candidate's log probability. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] - public float? LogProbability { get; set; } - /// /// The candidate’s token string value. /// @@ -26,6 +20,12 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] public int? TokenId { get; set; } + /// + /// The candidate's log probability. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] + public float? LogProbability { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate's log probability. - /// /// /// The candidate’s token string value. /// /// /// The candidate’s token id value. /// + /// + /// The candidate's log probability. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - float? logProbability, string? token, - int? tokenId) + int? tokenId, + float? logProbability) { - this.LogProbability = logProbability; this.Token = token; this.TokenId = tokenId; + this.LogProbability = logProbability; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index af983470d..72b2e21c7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Maps { /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// Title of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Text description of the place answer. @@ -21,22 +21,22 @@ public sealed partial class Maps public string? Text { get; set; } /// - /// URI reference of the place. + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] + public string? PlaceId { get; set; } /// - /// Title of the place. + /// URI reference of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] - public string? PlaceId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + /// Title of the place. /// /// /// Text description of the place answer. /// + /// + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// /// /// URI reference of the place. /// - /// - /// Title of the place. - /// - /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, + string? title, string? text, + string? placeId, string? uri, - string? title, - string? placeId) + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { - this.PlaceAnswerSources = placeAnswerSources; - this.Text = text; - this.Uri = uri; this.Title = title; + this.Text = text; this.PlaceId = placeId; + this.Uri = uri; + this.PlaceAnswerSources = placeAnswerSources; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs index ab8cc3280..d1c47b483 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class McpServer { - /// - /// The name of the MCPServer. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } + /// + /// The name of the MCPServer. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class McpServer /// /// Initializes a new instance of the class. /// - /// - /// The name of the MCPServer. - /// /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// + /// + /// The name of the MCPServer. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public McpServer( - string? name, - global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport) + global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport, + string? name) { - this.Name = name; this.StreamableHttpTransport = streamableHttpTransport; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs index d8e3f7c52..cf609da2f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Model { /// - /// The maximum temperature this model can use. + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. @@ -21,52 +21,52 @@ public sealed partial class Model public int? TopK { get; set; } /// - /// Maximum number of output tokens available for this model. + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { 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; } /// - /// 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`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { 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. + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// - /// 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` /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Maximum number of input tokens allowed for this model. + /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` @@ -75,16 +75,16 @@ public sealed partial class Model public string? BaseModelId { 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. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// 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` + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,76 +95,76 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// The maximum temperature this model can use. + /// + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// /// /// 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 maximum temperature this model can use. + /// /// /// Maximum number of output tokens available for this model. /// + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// /// /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// Maximum number of input tokens allowed for this model. /// - /// - /// A short description of the model. + /// + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// /// /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. - /// - /// - /// Whether the model supports thinking. - /// - /// - /// Maximum number of input tokens allowed for this model. - /// /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - /// - /// 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. + /// + /// A short description of the model. /// - /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - float? maxTemperature, + float? topP, int? topK, + bool? thinking, + float? maxTemperature, int? outputTokenLimit, - string? version, global::System.Collections.Generic.IList? supportedGenerationMethods, - string? description, - string? displayName, - float? temperature, - bool? thinking, + string? version, int? inputTokenLimit, + string? name, + string? displayName, string? baseModelId, - float? topP, - string? name) + string? description, + float? temperature) { - this.MaxTemperature = maxTemperature; + this.TopP = topP; this.TopK = topK; + this.Thinking = thinking; + this.MaxTemperature = maxTemperature; this.OutputTokenLimit = outputTokenLimit; - this.Version = version; this.SupportedGenerationMethods = supportedGenerationMethods; - this.Description = description; - this.DisplayName = displayName; - this.Temperature = temperature; - this.Thinking = thinking; + this.Version = version; this.InputTokenLimit = inputTokenLimit; - this.BaseModelId = baseModelId; - this.TopP = topP; this.Name = name; + this.DisplayName = displayName; + this.BaseModelId = baseModelId; + this.Description = description; + this.Temperature = temperature; } /// 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 a6fc29b81..0da3ec088 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { - /// - /// A message explaining the model status. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } - /// /// The time at which the model will be retired. /// @@ -27,6 +21,12 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter))] public global::Google.Gemini.ModelStatusModelStage? ModelStage { get; set; } + /// + /// A message explaining the model status. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// - /// - /// A message explaining the model status. - /// /// /// The time at which the model will be retired. /// /// /// The stage of the underlying model. /// + /// + /// A message explaining the model status. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( - string? message, string? retirementTime, - global::Google.Gemini.ModelStatusModelStage? modelStage) + global::Google.Gemini.ModelStatusModelStage? modelStage, + string? message) { - this.Message = message; this.RetirementTime = retirementTime; this.ModelStage = modelStage; + this.Message = message; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index 62f50273a..9857782b3 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 @@ -8,6 +8,18 @@ namespace Google.Gemini /// public sealed partial class Operation { + /// + /// 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; } + + /// + /// 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. /// @@ -20,24 +32,12 @@ public sealed partial class Operation [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. /// + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// /// /// The 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( + object? response, + bool? done, object? metadata, string? name, - bool? done, - global::Google.Gemini.Status? error, - object? response) + global::Google.Gemini.Status? error) { + this.Response = response; + this.Done = done; this.Metadata = metadata; 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 80a2af0b1..4b9de337b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs @@ -11,22 +11,23 @@ namespace Google.Gemini public sealed partial class Part { /// - /// 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. + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [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. + /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + [global::System.Obsolete("This property marked as deprecated.")] + public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { get; set; } /// /// Inline text. @@ -34,18 +35,18 @@ public sealed partial class Part [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; } - /// /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + /// + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } + /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// @@ -53,41 +54,40 @@ public sealed partial class Part public global::Google.Gemini.Blob? InlineData { get; set; } /// - /// Optional. Indicates if the part is thought from the model. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thought")] - public bool? Thought { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// - /// URI based data. + /// Optional. Indicates if the part is thought from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thought")] + public bool? Thought { get; set; } /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// 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("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// 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("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } /// - /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -98,71 +98,71 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. - /// - /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. - /// /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// /// /// 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`. - /// /// /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// + /// + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - /// - /// Optional. Indicates if the part is thought from the model. - /// - /// - /// 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`. - /// /// /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// + /// + /// Optional. Indicates if the part is thought from the model. + /// + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. + /// + /// + /// The 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( - global::Google.Gemini.FunctionResponse? functionResponse, - global::Google.Gemini.ExecutableCode? executableCode, global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + byte[]? thoughtSignature, string? text, - global::Google.Gemini.ToolResponse? toolResponse, global::Google.Gemini.FunctionCall? functionCall, + global::Google.Gemini.ToolCall? toolCall, global::Google.Gemini.Blob? inlineData, - bool? thought, - byte[]? thoughtSignature, global::Google.Gemini.FileData? fileData, - global::Google.Gemini.ToolCall? toolCall, - object? partMetadata) + object? partMetadata, + bool? thought, + global::Google.Gemini.ExecutableCode? executableCode, + global::Google.Gemini.ToolResponse? toolResponse, + global::Google.Gemini.FunctionResponse? functionResponse) { - this.FunctionResponse = functionResponse; - this.ExecutableCode = executableCode; this.CodeExecutionResult = codeExecutionResult; + this.ThoughtSignature = thoughtSignature; this.Text = text; - this.ToolResponse = toolResponse; this.FunctionCall = functionCall; + this.ToolCall = toolCall; this.InlineData = inlineData; - this.Thought = thought; - this.ThoughtSignature = thoughtSignature; this.FileData = fileData; - this.ToolCall = toolCall; this.PartMetadata = partMetadata; + this.Thought = thought; + this.ExecutableCode = executableCode; + this.ToolResponse = toolResponse; + this.FunctionResponse = functionResponse; } /// 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 eac5dd753..af56406e1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class Permission { + /// + /// Required. The role granted by this permission. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("role")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] + public global::Google.Gemini.PermissionRole? Role { get; set; } + /// /// 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 @@ -15,12 +22,6 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] - public string? EmailAddress { get; set; } - /// /// Optional. Immutable. The type of the grantee. /// @@ -29,11 +30,10 @@ public sealed partial class Permission public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } /// - /// Required. The role granted by this permission. + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - [global::System.Text.Json.Serialization.JsonPropertyName("role")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] - public global::Google.Gemini.PermissionRole? Role { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("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. /// + /// + /// Required. The role granted by this permission. + /// /// /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
/// Included only in responses /// - /// - /// Optional. Immutable. The 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 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( + global::Google.Gemini.PermissionRole? role, string? name, - string? emailAddress, global::Google.Gemini.PermissionGranteeType? granteeType, - global::Google.Gemini.PermissionRole? role) + string? emailAddress) { + this.Role = role; this.Name = name; - this.EmailAddress = emailAddress; this.GranteeType = granteeType; - this.Role = role; + this.EmailAddress = emailAddress; } /// 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 f8d4b3c59..1cacae026 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 @@ -14,18 +14,6 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } - - /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] - public string? MediaId { get; set; } - /// /// Optional. User-provided metadata about the retrieved context. /// @@ -39,10 +27,10 @@ public sealed partial class RetrievedContext public int? PageNumber { get; set; } /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] + public string? MediaId { get; set; } /// /// Optional. Text of the chunk. @@ -50,6 +38,18 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { get; set; } + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } + + /// + /// Optional. URI reference of the semantic retrieval document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -62,43 +62,43 @@ public sealed partial class RetrievedContext /// /// Optional. Title of the document. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` - /// - /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} - /// /// /// Optional. User-provided metadata about the retrieved context. /// /// /// Optional. Page number of the retrieved context, if applicable. /// - /// - /// Optional. URI reference of the semantic retrieval document. + /// + /// 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. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// + /// Optional. URI reference of the semantic retrieval document. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( string? title, - string? fileSearchStore, - string? mediaId, global::System.Collections.Generic.IList? customMetadata, int? pageNumber, - string? uri, - string? text) + string? mediaId, + string? text, + string? fileSearchStore, + string? uri) { this.Title = title; - this.FileSearchStore = fileSearchStore; - this.MediaId = mediaId; this.CustomMetadata = customMetadata; this.PageNumber = pageNumber; - this.Uri = uri; + this.MediaId = mediaId; this.Text = text; + this.FileSearchStore = fileSearchStore; + this.Uri = uri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs index 7faf20629..db35d0251 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ReviewSnippet { - /// - /// Title of the review. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// A link that corresponds to the user review on Google Maps. /// @@ -26,6 +20,12 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] public string? ReviewId { get; set; } + /// + /// Title of the review. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ReviewSnippet /// /// Initializes a new instance of the class. /// - /// - /// Title of the review. - /// /// /// A link that corresponds to the user review on Google Maps. /// /// /// The ID of the review snippet. /// + /// + /// Title of the review. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( - string? title, string? googleMapsUri, - string? reviewId) + string? reviewId, + string? title) { - this.Title = title; this.GoogleMapsUri = googleMapsUri; this.ReviewId = reviewId; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index d173960d9..4d10712f5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetyRating { - /// - /// Required. The category for this rating. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("category")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] - public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } - /// /// Required. The probability of harm for this content. /// @@ -28,6 +21,13 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] public bool? Blocked { get; set; } + /// + /// Required. The category for this rating. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("category")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] + public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -37,26 +37,26 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// - /// - /// Required. The category for this rating. - /// /// /// Required. The probability of harm for this content. /// /// /// Was this content blocked because of this rating? /// + /// + /// Required. The category for this rating. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( - global::Google.Gemini.SafetyRatingCategory? category, global::Google.Gemini.SafetyRatingProbability? probability, - bool? blocked) + bool? blocked, + global::Google.Gemini.SafetyRatingCategory? category) { - this.Category = category; this.Probability = probability; this.Blocked = blocked; + 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 9602f9b53..395a6d9e9 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. @@ -21,34 +21,40 @@ public sealed partial class Schema public string? Description { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// - /// Optional. Indicates if the value may be null. + /// 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("nullable")] - public bool? Nullable { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// /// Optional. Minimum number of the properties for Type.OBJECT. @@ -57,28 +63,28 @@ public sealed partial class Schema public string? MinProperties { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { 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. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER @@ -86,6 +92,12 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] public double? Maximum { get; set; } + /// + /// Optional. Minimum number of the elements for Type.ARRAY. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } + /// /// Required. Data type. /// @@ -94,22 +106,10 @@ public sealed partial class Schema public global::Google.Gemini.SchemaType? Type { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } - - /// - /// Optional. The title of the schema. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// 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("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { 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"]} @@ -118,22 +118,22 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// /// Optional. Example of the object. Will only populated when the object is the root. @@ -150,68 +150,68 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// Optional. The title of the schema. /// /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// + /// + /// Optional. Maximum number of the properties for Type.OBJECT. + /// + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// + /// Optional. Indicates if the value may be null. + /// /// /// Optional. 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. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// /// /// 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. Indicates if the value may be null. - /// /// /// Optional. Minimum number of the properties for Type.OBJECT. /// + /// + /// Optional. Required properties of Type.OBJECT. + /// /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// /// /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. - /// - /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. - /// /// /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// + /// + /// Optional. Minimum number of the elements for Type.ARRAY. + /// /// /// Required. Data type. /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. - /// - /// - /// Optional. The title of the schema. - /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// 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. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// + /// + /// Optional. Maximum number of the elements for Type.ARRAY. + /// /// /// Optional. Maximum length of the Type.STRING /// - /// - /// Optional. Maximum number of the properties for Type.OBJECT. - /// - /// - /// Optional. Required properties of Type.OBJECT. + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// /// /// Optional. Example of the object. Will only populated when the object is the root. @@ -220,50 +220,50 @@ public sealed partial class Schema [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - string? pattern, + string? title, string? description, + string? maxProperties, + string? minLength, + bool? nullable, global::System.Collections.Generic.Dictionary? properties, - global::Google.Gemini.Schema? items, - string? maxItems, + object? @default, global::System.Collections.Generic.IList? propertyOrdering, - bool? nullable, string? minProperties, + global::System.Collections.Generic.IList? required, double? minimum, + string? pattern, global::System.Collections.Generic.IList? anyOf, - string? minItems, - object? @default, double? maximum, + string? minItems, global::Google.Gemini.SchemaType? type, - string? format, - string? title, - string? minLength, + global::Google.Gemini.Schema? items, global::System.Collections.Generic.IList? @enum, + string? maxItems, string? maxLength, - string? maxProperties, - global::System.Collections.Generic.IList? required, + string? format, object? example) { - this.Pattern = pattern; + this.Title = title; this.Description = description; + this.MaxProperties = maxProperties; + this.MinLength = minLength; + this.Nullable = nullable; this.Properties = properties; - this.Items = items; - this.MaxItems = maxItems; + this.Default = @default; this.PropertyOrdering = propertyOrdering; - this.Nullable = nullable; this.MinProperties = minProperties; + this.Required = required; this.Minimum = minimum; + this.Pattern = pattern; this.AnyOf = anyOf; - this.MinItems = minItems; - this.Default = @default; this.Maximum = maximum; + this.MinItems = minItems; this.Type = type; - this.Format = format; - this.Title = title; - this.MinLength = minLength; + this.Items = items; this.Enum = @enum; + this.MaxItems = maxItems; this.MaxLength = maxLength; - this.MaxProperties = maxProperties; - this.Required = required; + this.Format = format; this.Example = example; } 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 3d9a8e713..7e6808c3a 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 45f30e57d..24d94e406 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 f1ef065a1..370880fa8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SpeakerVoiceConfig { - /// - /// Required. The name of the speaker to use. Should be the same as in the prompt. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("speaker")] - public string? Speaker { get; set; } - /// /// The configuration for the voice to use. /// [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// + /// Required. The name of the speaker to use. Should be the same as in the prompt. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("speaker")] + public string? Speaker { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SpeakerVoiceConfig /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the speaker to use. Should be the same as in the prompt. - /// /// /// The configuration for the voice to use. /// + /// + /// Required. The name of the speaker to use. Should be the same as in the prompt. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeakerVoiceConfig( - string? speaker, - global::Google.Gemini.VoiceConfig? voiceConfig) + global::Google.Gemini.VoiceConfig? voiceConfig, + string? speaker) { - this.Speaker = speaker; this.VoiceConfig = voiceConfig; + this.Speaker = speaker; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index d7b2aff2c..c86475b3f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -14,18 +14,18 @@ public sealed partial class SpeechConfig [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] public string? LanguageCode { get; set; } - /// - /// The configuration for the voice to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// /// The configuration for the multi-speaker setup. /// [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } + /// + /// The configuration for the voice to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class SpeechConfig /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// - /// - /// The configuration for the voice to use. - /// /// /// The configuration for the multi-speaker setup. /// + /// + /// The configuration for the voice to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( string? languageCode, - global::Google.Gemini.VoiceConfig? voiceConfig, - global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) + global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, + global::Google.Gemini.VoiceConfig? voiceConfig) { this.LanguageCode = languageCode; - this.VoiceConfig = voiceConfig; this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; + 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 7afcb1083..0aee1c55a 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 @@ -9,10 +9,10 @@ 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. + /// 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("details")] - public global::System.Collections.Generic.IList? Details { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } /// /// The status code, which should be an enum value of google.rpc.Code. @@ -21,10 +21,10 @@ public sealed partial class Status public int? Code { get; set; } /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + /// 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("message")] - public string? Message { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("details")] + public global::System.Collections.Generic.IList? Details { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// + /// 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. /// /// /// The status code, which should be an enum value of google.rpc.Code. /// - /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( - global::System.Collections.Generic.IList? details, + string? message, int? code, - string? message) + global::System.Collections.Generic.IList? details) { - this.Details = details; - this.Code = code; this.Message = message; + this.Code = code; + this.Details = details; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index d5b7eb634..ef4d24b00 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class StreamableHttpTransport { /// - /// Whether to close the client session when the transport closes. + /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] - public bool? TerminateOnClose { 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" @@ -20,12 +20,6 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("url")] public string? Url { get; set; } - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("headers")] - public global::System.Collections.Generic.Dictionary? Headers { get; set; } - /// /// HTTP timeout for regular operations. /// @@ -38,6 +32,12 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] public string? SseReadTimeout { get; set; } + /// + /// Whether to close the client session when the transport closes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] + public bool? TerminateOnClose { get; set; } + /// /// 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. /// - /// - /// Whether to close the client session when the transport closes. + /// + /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. - /// /// /// HTTP timeout for regular operations. /// /// /// Timeout for SSE read operations. /// + /// + /// Whether to close the client session when the transport closes. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - bool? terminateOnClose, - string? url, global::System.Collections.Generic.Dictionary? headers, + string? url, string? timeout, - string? sseReadTimeout) + string? sseReadTimeout, + bool? terminateOnClose) { - this.TerminateOnClose = terminateOnClose; - this.Url = url; this.Headers = headers; + this.Url = url; this.Timeout = timeout; this.SseReadTimeout = sseReadTimeout; + this.TerminateOnClose = terminateOnClose; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs index 23166152a..864d5b2f2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ThinkingConfig { - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] - public bool? IncludeThoughts { get; set; } - /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. 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. /// @@ -21,6 +15,12 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] + public bool? IncludeThoughts { get; set; } + /// /// The number of thoughts tokens that the model should generate. /// @@ -36,12 +36,12 @@ public sealed partial class ThinkingConfig /// /// Initializes a new instance of the class. /// - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. + /// /// /// The number of thoughts tokens that the model should generate. /// @@ -49,12 +49,12 @@ public sealed partial class ThinkingConfig [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( - bool? includeThoughts, global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, + bool? includeThoughts, int? thinkingBudget) { - this.IncludeThoughts = includeThoughts; this.ThinkingLevel = thinkingLevel; + this.IncludeThoughts = includeThoughts; 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 d95867394..af49e53df 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs @@ -9,22 +9,28 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// Optional. MCP Servers to connect to. + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] - public global::System.Collections.Generic.IList? McpServers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// - /// 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. + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] - public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } /// - /// Computer Use tool type. + /// Tool to retrieve public web data for grounding, powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } + + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } /// /// Tool to support URL context retrieval. @@ -33,16 +39,16 @@ public sealed partial class Tool public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// Optional. MCP Servers to connect to. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] + public global::System.Collections.Generic.IList? McpServers { get; set; } /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// Computer Use tool type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. @@ -51,16 +57,10 @@ public sealed partial class Tool public global::Google.Gemini.FileSearch? FileSearch { get; set; } /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } - - /// - /// Tool to retrieve public web data for grounding, powered by Google. + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] - public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] + public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,56 +71,56 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// Optional. MCP Servers to connect to. + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - /// - /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - /// - /// Computer Use tool type. + /// + /// Tool to retrieve public web data for grounding, powered by Google. + /// + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// /// /// Tool to support URL context retrieval. /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + /// Optional. MCP Servers to connect to. /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + /// Computer Use tool type. /// /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// - /// - /// 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. + /// + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::System.Collections.Generic.IList? mcpServers, - global::System.Collections.Generic.IList? functionDeclarations, - global::Google.Gemini.ComputerUse? computerUse, - global::Google.Gemini.UrlContext? urlContext, global::Google.Gemini.GoogleMaps? googleMaps, global::Google.Gemini.GoogleSearch? googleSearch, - global::Google.Gemini.FileSearch? fileSearch, + global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, global::Google.Gemini.CodeExecution? codeExecution, - global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval) + global::Google.Gemini.UrlContext? urlContext, + global::System.Collections.Generic.IList? mcpServers, + global::Google.Gemini.ComputerUse? computerUse, + global::Google.Gemini.FileSearch? fileSearch, + global::System.Collections.Generic.IList? functionDeclarations) { - this.McpServers = mcpServers; - this.FunctionDeclarations = functionDeclarations; - this.ComputerUse = computerUse; - this.UrlContext = urlContext; this.GoogleMaps = googleMaps; this.GoogleSearch = googleSearch; - this.FileSearch = fileSearch; - this.CodeExecution = codeExecution; this.GoogleSearchRetrieval = googleSearchRetrieval; + this.CodeExecution = codeExecution; + this.UrlContext = urlContext; + this.McpServers = mcpServers; + this.ComputerUse = computerUse; + this.FileSearch = fileSearch; + this.FunctionDeclarations = functionDeclarations; } /// 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 c04b49150..eb31d18b5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ToolCall { + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. The type of tool that was called. /// @@ -21,12 +27,6 @@ public sealed partial class ToolCall [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ToolCall /// /// Initializes a new instance of the class. /// + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// /// /// Required. The type of tool that was called. /// /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( + string? id, global::Google.Gemini.ToolCallToolType? toolType, - object? args, - string? id) + object? args) { + this.Id = id; this.ToolType = toolType; 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 ba6504675..6357a634c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ToolConfig { /// - /// Configuration for specifying function calling behavior. + /// Retrieval config. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] - public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] + public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. @@ -21,10 +21,10 @@ public sealed partial class ToolConfig public bool? IncludeServerSideToolInvocations { get; set; } /// - /// Retrieval config. + /// Configuration for specifying function calling behavior. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] - public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] + public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// - /// - /// Configuration for specifying function calling behavior. + /// + /// Retrieval config. /// /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// - /// - /// Retrieval config. + /// + /// Configuration for specifying function calling behavior. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, + global::Google.Gemini.RetrievalConfig? retrievalConfig, bool? includeServerSideToolInvocations, - global::Google.Gemini.RetrievalConfig? retrievalConfig) + global::Google.Gemini.FunctionCallingConfig? functionCallingConfig) { - this.FunctionCallingConfig = functionCallingConfig; - this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; this.RetrievalConfig = retrievalConfig; + this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; + this.FunctionCallingConfig = functionCallingConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index 7333cb0aa..f67a9ee88 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class ToolResponse { - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] - public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } - /// /// Optional. The tool response. /// @@ -27,6 +20,13 @@ public sealed partial class ToolResponse [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] + public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ToolResponse /// /// Initializes a new instance of the class. /// - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. - /// /// /// Optional. The tool response. /// /// /// Optional. The identifier of the tool call this response is for. /// + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( - global::Google.Gemini.ToolResponseToolType? toolType, object? response, - string? id) + string? id, + global::Google.Gemini.ToolResponseToolType? toolType) { - this.ToolType = toolType; this.Response = response; this.Id = id; + this.ToolType = toolType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index 33e54f608..633e9ffa3 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 @@ -8,37 +8,24 @@ namespace Google.Gemini /// public sealed partial class TunedModel { - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } - /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] public float? Temperature { get; set; } - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Optional. A short description of this model. /// [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { get; set; } + /// + /// Tuning tasks that create tuned models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } + /// /// Tuned model as a source for training a new model. /// @@ -46,19 +33,17 @@ public sealed partial class TunedModel public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The state of the tuned 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("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] - public global::Google.Gemini.TunedModelState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -66,6 +51,14 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] public string? BaseModel { get; set; } + /// + /// Output only. The state of the tuned model.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } + /// /// Output only. The timestamp when this model was created.
/// Included only in responses @@ -79,18 +72,25 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } - /// - /// Tuning tasks that create tuned models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } - /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// [global::System.Text.Json.Serialization.JsonPropertyName("topK")] public int? TopK { get; set; } + /// + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -100,36 +100,32 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// /// /// Optional. A short description of this model. /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Tuned model as a source for training a new model. /// - /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Output only. The state of the tuned 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 /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Output only. The state of the tuned model.
+ /// Included only in responses + /// /// /// Output only. The timestamp when this model was created.
/// Included only in responses @@ -137,43 +133,47 @@ public sealed partial class TunedModel /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Tuning tasks that create tuned models. - /// /// /// 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 timestamp when this model was updated.
+ /// Included only in responses + /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - string? name, - float? topP, float? temperature, - string? displayName, string? description, + global::Google.Gemini.TuningTask? tuningTask, global::Google.Gemini.TunedModelSource? tunedModelSource, - string? updateTime, - global::Google.Gemini.TunedModelState? state, + string? displayName, + string? name, string? baseModel, + global::Google.Gemini.TunedModelState? state, string? createTime, global::System.Collections.Generic.IList? readerProjectNumbers, - global::Google.Gemini.TuningTask? tuningTask, - int? topK) + int? topK, + string? updateTime, + float? topP) { - this.Name = name; - this.TopP = topP; this.Temperature = temperature; - this.DisplayName = displayName; this.Description = description; + this.TuningTask = tuningTask; this.TunedModelSource = tunedModelSource; - this.UpdateTime = updateTime; - this.State = state; + this.DisplayName = displayName; + this.Name = name; this.BaseModel = baseModel; + this.State = state; this.CreateTime = createTime; this.ReaderProjectNumbers = readerProjectNumbers; - this.TuningTask = tuningTask; this.TopK = topK; + this.UpdateTime = updateTime; + this.TopP = topP; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs index 9f62ece27..8d81afc5e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class TunedModelSource { - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] - public string? TunedModel { get; set; } - /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class TunedModelSource [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] public string? BaseModel { get; set; } + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] + public string? TunedModel { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class TunedModelSource /// /// Initializes a new instance of the class. /// - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses /// + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModelSource( - string? tunedModel, - string? baseModel) + string? baseModel, + string? tunedModel) { - this.TunedModel = tunedModel; this.BaseModel = baseModel; + this.TunedModel = tunedModel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index 75fdb41d1..a3475eb51 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 @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class TuningSnapshot { /// - /// Output only. The epoch this step was part of.
+ /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } /// - /// 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? Step { get; set; } /// - /// Output only. The mean loss of the training examples for this step.
+ /// Output only. The epoch this step was part of.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] - public float? MeanLoss { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The epoch this step was part of.
- /// Included only in responses - /// /// /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// + /// + /// Output only. The mean loss of the training examples for this step.
+ /// Included only in responses + /// /// /// Output only. The tuning step.
/// Included only in responses /// - /// - /// Output only. The mean loss of the training examples for this step.
+ /// + /// Output only. The epoch this step was part of.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - int? epoch, string? computeTime, + float? meanLoss, int? step, - float? meanLoss) + int? epoch) { - this.Epoch = epoch; this.ComputeTime = computeTime; - this.Step = step; this.MeanLoss = meanLoss; + this.Step = step; + this.Epoch = epoch; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index 16626d98f..8663519bc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class TuningTask { + /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// + [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] + public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses @@ -16,16 +22,17 @@ public sealed partial class TuningTask public string? StartTime { get; set; } /// - /// Dataset for training or validation. + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] - public global::Google.Gemini.Dataset? TrainingData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] + public string? CompleteTime { get; set; } /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// Dataset for training or validation. /// - [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] - public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] + public global::Google.Gemini.Dataset? TrainingData { get; set; } /// /// Output only. Metrics collected during tuning.
@@ -34,13 +41,6 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] public global::System.Collections.Generic.IList? Snapshots { get; set; } - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] - public string? CompleteTime { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -50,39 +50,39 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// + /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// + /// + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses + /// /// /// Dataset for training or validation. /// - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance - /// /// /// Output only. Metrics collected during tuning.
/// Included only in responses /// - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( + global::Google.Gemini.Hyperparameters? hyperparameters, string? startTime, + string? completeTime, global::Google.Gemini.Dataset? trainingData, - global::Google.Gemini.Hyperparameters? hyperparameters, - global::System.Collections.Generic.IList? snapshots, - string? completeTime) + global::System.Collections.Generic.IList? snapshots) { + this.Hyperparameters = hyperparameters; this.StartTime = startTime; + this.CompleteTime = completeTime; this.TrainingData = trainingData; - this.Hyperparameters = hyperparameters; this.Snapshots = snapshots; - 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 fa4c84a73..cc5c6a9be 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class UploadToFileSearchStoreRequest { - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] - public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } - - /// - /// Optional. Display name of the created document. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Custom metadata to be associated with the data. /// [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; } + /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Optional. Display name of the created document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto - /// - /// - /// Optional. Display name of the created document. - /// /// /// Custom metadata to be associated with the data. /// + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Optional. Display name of the created document. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - global::Google.Gemini.ChunkingConfig? chunkingConfig, - string? displayName, global::System.Collections.Generic.IList? customMetadata, - string? mimeType) + global::Google.Gemini.ChunkingConfig? chunkingConfig, + string? mimeType, + string? displayName) { - this.ChunkingConfig = chunkingConfig; - this.DisplayName = displayName; this.CustomMetadata = customMetadata; + this.ChunkingConfig = chunkingConfig; this.MimeType = mimeType; + this.DisplayName = displayName; } /// 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 a55b3fbe9..f0ecdce80 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class UsageMetadata { /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// 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("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// /// Output only. Service tier of the request.
@@ -29,12 +29,6 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } - /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -43,11 +37,24 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Output only. Number of tokens of thoughts for thinking models.
+ /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] - public int? ThoughtsTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + + /// + /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } + + /// + /// Total number of tokens across all the generated response candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// /// Total token count for the generation request (prompt + thoughts + response candidates). @@ -63,24 +70,17 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// - /// Total number of tokens across all the generated response candidates. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } - - /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] + public int? ThoughtsTokenCount { get; set; } /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses + /// Number of tokens in the cached part of the prompt (the cached content) /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -105,8 +105,8 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// + /// 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. Service tier of the request.
@@ -116,17 +116,21 @@ public sealed partial class UsageMetadata /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// /// /// 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.
+ /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses + /// + /// + /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// + /// + /// Total number of tokens across all the generated response candidates. + /// /// /// Total token count for the generation request (prompt + thoughts + response candidates). /// @@ -134,16 +138,12 @@ public sealed partial class UsageMetadata /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// - /// - /// Total number of tokens across all the generated response candidates. - /// - /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// + /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses + /// + /// Number of tokens in the cached part of the prompt (the cached content) /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -157,31 +157,31 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - int? cachedContentTokenCount, + int? promptTokenCount, global::Google.Gemini.UsageMetadataServiceTier? serviceTier, global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - int? promptTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - int? thoughtsTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, + int? toolUsePromptTokenCount, + int? candidatesTokenCount, int? totalTokenCount, global::System.Collections.Generic.IList? candidatesTokensDetails, - int? candidatesTokenCount, - int? toolUsePromptTokenCount, - global::System.Collections.Generic.IList? cacheTokensDetails, + int? thoughtsTokenCount, + int? cachedContentTokenCount, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.CachedContentTokenCount = cachedContentTokenCount; + this.PromptTokenCount = promptTokenCount; this.ServiceTier = serviceTier; this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.PromptTokenCount = promptTokenCount; this.PromptTokensDetails = promptTokensDetails; - this.ThoughtsTokenCount = thoughtsTokenCount; + this.CacheTokensDetails = cacheTokensDetails; + this.ToolUsePromptTokenCount = toolUsePromptTokenCount; + this.CandidatesTokenCount = candidatesTokenCount; this.TotalTokenCount = totalTokenCount; this.CandidatesTokensDetails = candidatesTokensDetails; - this.CandidatesTokenCount = candidatesTokenCount; - this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.CacheTokensDetails = cacheTokensDetails; + this.ThoughtsTokenCount = thoughtsTokenCount; + this.CachedContentTokenCount = cachedContentTokenCount; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs index 76dde6794..31d654f12 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class Web { /// - /// Output only. URI reference of the chunk.
+ /// Output only. Title of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Output only. Title of the chunk.
+ /// Output only. URI reference of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class Web /// /// Initializes a new instance of the class. /// - /// - /// Output only. URI reference of the chunk.
- /// Included only in responses - /// /// /// Output only. Title of the chunk.
/// Included only in responses /// + /// + /// Output only. URI reference of the chunk.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Web( - string? uri, - string? title) + string? title, + string? uri) { - this.Uri = uri; this.Title = title; + this.Uri = uri; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index e731e13ae..3a8cdd1d2 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,15 +11,40 @@ } ], "paths": { - "/cachedContents": { + "/corpora": { + "post": { + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } + } + } + } + } + }, "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", + "description": "Optional. The maximum number of `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" @@ -28,7 +53,7 @@ { "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, 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" } @@ -40,98 +65,101 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/ListCorporaResponse" } } } } } - }, - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } + } + }, + "/corpora/{corporaId}": { + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", + "parameters": [ + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Corpus" } } } } } - } - }, - "/cachedContents/{cachedContentsId}": { - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + }, + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "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": "string", - "pattern": "^cachedContents/[^/]+$" + "type": "boolean" } }, { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + } + }, + "/corpora/{corporaId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "cachedContentsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -141,63 +169,89 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + } + }, + "/corpora/{corporaId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "cachedContentsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + }, + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.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.", + "name": "permissionsId", + "in": "path", + "required": true, "schema": { - "type": "boolean" + "type": "string" } }, { - "name": "fileSearchStoresId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -207,25 +261,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } } } }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "fileSearchStoresId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "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": "^fileSearchStores/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -235,7 +297,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Empty" } } } @@ -243,15 +305,15 @@ } } }, - "/fileSearchStores": { + "/corpora/{corporaId}/permissions": { "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", + "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" @@ -260,10 +322,20 @@ { "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": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" + } } ], "responses": { @@ -272,7 +344,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -280,44 +352,17 @@ } }, "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/FileSearchStore" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/FileSearchStore" - } - } - } - } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { - "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "fileSearchStoresId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -325,7 +370,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -336,7 +381,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } @@ -344,65 +389,51 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "/files": { + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileRequest" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CreateFileResponse" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + }, "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "type": "string" } } ], @@ -412,7 +443,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListFilesResponse" } } } @@ -420,81 +451,77 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + "/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": "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`", + "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/Empty" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } } } - }, - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + } + }, + "/models/{modelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "documentsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/Operation" } } } @@ -502,46 +529,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.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 `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CountTokensRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -549,15 +568,15 @@ } } }, - "/files": { + "/models": { "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -566,7 +585,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", "schema": { "type": "string" } @@ -578,21 +597,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/ListModelsResponse" } } } } } - }, + } + }, + "/models/{modelsId}:embedContent": { "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", + "parameters": [ + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -603,7 +636,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -611,19 +644,19 @@ } } }, - "/files/{filesId}": { - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + "/models/{modelsId}": { + "get": { + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { - "name": "filesId", + "name": "modelsId", "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. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -633,51 +666,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Model" } } } } } - }, - "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + } + }, + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "filesId", + "name": "modelsId", "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/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/File" - } - } - } - } - } - } - }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -688,7 +705,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -696,28 +713,19 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/models/{modelsId}:batchEmbedContents": { + "post": { + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -725,7 +733,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/BatchEmbedContentsRequest" } } } @@ -736,7 +744,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -744,29 +752,43 @@ } } }, - "/batches/{batchesId}:cancel": { + "/models/{modelsId}:streamGenerateContent": { "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -774,57 +796,38 @@ } } }, - "/batches/{batchesId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } - } - }, - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be deleted.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -832,10 +835,10 @@ } } }, - "/batches": { + "/models/{modelsId}/operations": { "get": { "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "operationId": "models.operations.list", "parameters": [ { "name": "filter", @@ -845,6 +848,16 @@ "type": "string" } }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", @@ -885,19 +898,57 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", + "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+/operations/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/tunedModels/{tunedModelsId}": { "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } }, { @@ -914,7 +965,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/TunedModel" } } } @@ -925,42 +976,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/tunedModels": { + }, "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], @@ -970,42 +1004,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/TunedModel" } } } } } }, - "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": [ + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", + "parameters": [ { - "name": "tunedModelId", - "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -1013,36 +1040,27 @@ } } }, - "/tunedModels/{tunedModelsId}": { - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + "/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": "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`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+$" } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } } ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1053,63 +1071,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - } - } - }, - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/GenerateContentResponse" } - } - } - } - } - }, - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { + }, + "text/event-stream": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1117,10 +1084,10 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { + "/tunedModels/{tunedModelsId}:batchGenerateContent": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { "name": "tunedModelsId", @@ -1137,7 +1104,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -1148,7 +1115,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1156,10 +1123,10 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { + "/tunedModels/{tunedModelsId}:generateContent": { "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { "name": "tunedModelsId", @@ -1189,30 +1156,23 @@ "schema": { "$ref": "#/components/schemas/GenerateContentResponse" } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } } } } } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "/tunedModels": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + "description": "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": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "tunedModelId", + "in": "query", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "string" } } ], @@ -1220,7 +1180,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1237,40 +1197,44 @@ } } } - } - }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + }, + "get": { + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "string" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } + }, + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } @@ -1317,16 +1281,16 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+$" @@ -1337,7 +1301,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -1348,21 +1312,41 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}/operations": { "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.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": "tunedModels.operations.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/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -1371,19 +1355,17 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } }, { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "boolean" } } ], @@ -1393,7 +1375,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1401,10 +1383,10 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { "name": "tunedModelsId", @@ -1415,7 +1397,45 @@ } }, { - "name": "permissionsId", + "name": "operationsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", "in": "path", "required": true, "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", @@ -1456,9 +1476,9 @@ } } }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { "name": "tunedModelsId", @@ -1485,16 +1505,16 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } } } }, - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { "name": "tunedModelsId", @@ -1521,7 +1541,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } @@ -1529,71 +1549,52 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "/tunedModels/{tunedModelsId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "operationsId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/operations": { + }, "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `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" @@ -1602,17 +1603,19 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1622,7 +1625,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -1630,19 +1633,19 @@ } } }, - "/models/{modelsId}:embedContent": { + "/dynamic/{dynamicId}:generateContent": { "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "modelsId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -1650,7 +1653,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1661,7 +1664,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1669,19 +1672,19 @@ } } }, - "/models/{modelsId}:generateContent": { + "/dynamic/{dynamicId}:streamGenerateContent": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "modelsId", + "name": "dynamicId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -1702,33 +1705,26 @@ "schema": { "$ref": "#/components/schemas/GenerateContentResponse" } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" + } } } } } } }, - "/models/{modelsId}:asyncBatchEmbedContent": { + "/cachedContents": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1739,27 +1735,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/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", + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -1769,7 +1770,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } @@ -1777,114 +1778,103 @@ } } }, - "/models/{modelsId}:countTokens": { - "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "/cachedContents/{cachedContentsId}": { + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CountTokensRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/models/{modelsId}:batchEmbedContents": { - "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + }, + "get": { + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/models": { - "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + }, + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^cachedContents/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "The list of fields to update.", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1892,82 +1882,65 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$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" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + }, + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "modelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -1975,33 +1948,15 @@ } } }, - "/models/{modelsId}/operations": { + "/fileSearchStores": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { "type": "integer", "format": "int32" @@ -2010,18 +1965,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -2030,7 +1977,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -2038,30 +2010,31 @@ } } }, - "/models/{modelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ImportFileRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -2076,27 +2049,35 @@ } } }, - "/corpora/{corporaId}": { + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.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 `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.", + "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": "corporaId", + "name": "documentsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -2114,17 +2095,25 @@ } }, "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "corporaId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "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": "^corpora/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -2134,7 +2123,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/Document" } } } @@ -2142,15 +2131,15 @@ } } }, - "/corpora": { + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", + "description": "Optional. The maximum number of `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" @@ -2159,44 +2148,29 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `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" } - } - ], - "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" - } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -2204,73 +2178,65 @@ } } }, - "/corpora/{corporaId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "corporaId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "corporaId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -2280,7 +2246,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2288,27 +2254,19 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "/files/{filesId}": { + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "filesId", "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 `File` to delete. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^files/[^/]+$" } } ], @@ -2318,50 +2276,51 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } } } }, - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "filesId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^files/[^/]+$" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/File" + } + } + } + } + } + } + }, + "/files:register": { + "post": { + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/RegisterFilesRequest" } } } @@ -2372,33 +2331,50 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/batches": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { "type": "string" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } ], @@ -2408,7 +2384,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -2416,27 +2392,19 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { + "/batches/{batchesId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "operationId": "batches.get", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "batchesId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -2452,40 +2420,29 @@ } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + }, + "delete": { + "description": "Deletes a 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. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/Empty" } } } @@ -2493,19 +2450,28 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "dynamicId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -2513,7 +2479,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -2524,7 +2490,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -2532,19 +2498,58 @@ } } }, - "/dynamic/{dynamicId}:streamGenerateContent": { + "/batches/{batchesId}:cancel": { "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "dynamic.streamGenerateContent", + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "dynamicId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^batches/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", + "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/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -2552,7 +2557,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -2563,12 +2568,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -2654,1406 +2654,1311 @@ }, "components": { "schemas": { - "Web": { + "UrlMetadata": { + "description": "Context of the a single url retrieval.", "type": "object", - "description": "Chunk from the web.", "properties": { - "uri": { - "description": "Output only. URI reference of the chunk.", - "readOnly": true, + "retrievedUrl": { + "description": "Retrieved url by the tool.", "type": "string" }, - "title": { - "readOnly": true, - "description": "Output only. Title of the chunk.", - "type": "string" + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ], + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ] } } }, - "CreateFileRequest": { - "description": "Request for `CreateFile`.", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" - } - }, - "type": "object" - }, - "ReviewSnippet": { + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "type": "object", - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", "properties": { - "title": { - "description": "Title of the review.", - "type": "string" + "stopSequences": { + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", + "type": "array", + "items": { + "type": "string" + } }, - "googleMapsUri": { - "type": "string", - "description": "A link that corresponds to the user review on Google Maps." + "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" }, - "reviewId": { - "description": "The ID of the review snippet.", - "type": "string" - } - } - }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", - "properties": { - "embedding": { - "readOnly": true, - "description": "Output only. The embedding generated from the input content.", - "$ref": "#/components/schemas/ContentEmbedding" + "temperature": { + "format": "float", + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "type": "number" }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" - } - }, - "type": "object" - }, - "Image": { - "type": "object", - "description": "Chunk from image search.", - "properties": { - "title": { - "type": "string", - "description": "The title of the web page that the image is from." + "speechConfig": { + "$ref": "#/components/schemas/SpeechConfig", + "description": "Optional. The speech generation config." }, - "imageUri": { - "description": "The image asset URL.", - "type": "string" + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" }, - "sourceUri": { - "type": "string", - "description": "The web page URI for attribution." + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "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" - } - } - }, - "Status": { - "type": "object", - "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", - "properties": { - "details": { - "type": "array", - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", - "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - } - }, - "code": { - "type": "integer", - "description": "The status code, which should be an enum value of google.rpc.Code.", - "format": "int32" }, - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", - "type": "string" - } - } - }, - "GenerateContentResponse": { - "type": "object", - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", - "properties": { - "candidates": { - "description": "Candidate responses from the model.", - "items": { - "$ref": "#/components/schemas/Candidate" - }, - "type": "array" + "maxOutputTokens": { + "format": "int32", + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", + "type": "integer" }, - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "$ref": "#/components/schemas/UsageMetadata", - "readOnly": true + "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.", + "$ref": "#/components/schemas/Schema" }, - "modelVersion": { - "readOnly": true, - "description": "Output only. The model version used to generate the response.", + "responseMimeType": { + "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.", "type": "string" }, - "responseId": { - "description": "Output only. response_id is used to identify each response.", - "readOnly": true, - "type": "string" + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" }, - "modelStatus": { - "readOnly": true, - "description": "Output only. The current model status of this model.", - "$ref": "#/components/schemas/ModelStatus" + "responseModalities": { + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "type": "array", + "items": { + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ] + } }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "topK": { + "format": "int32", + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "integer" + }, + "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" + }, + "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" + }, + "seed": { + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "type": "integer", + "format": "int32" + }, + "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" + }, + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" + }, + "candidateCount": { + "format": "int32", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "type": "integer" } } }, "GroundingPassageId": { - "type": "object", "description": "Identifier for a part within a `GroundingPassage`.", + "type": "object", "properties": { "partIndex": { - "type": "integer", - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", "format": "int32", + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "type": "integer", "readOnly": true }, "passageId": { "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", - "readOnly": true, - "type": "string" + "type": "string", + "readOnly": true } } }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "EmbedContentConfig": { "properties": { - "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" + "title": { + "description": "Optional. The title for the text.", + "type": "string" }, - "name": { + "taskType": { + "description": "Optional. The task type of the embedding.", "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}`." + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] }, - "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.", + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" + }, + "outputDimensionality": { + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "type": "integer", + "format": "int32" + }, + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", "type": "boolean" }, + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" + } + }, + "description": "Configurations for the EmbedContent request.", + "type": "object" + }, + "InlinedResponse": { + "properties": { "error": { - "description": "The error result of the operation in case of failure or cancellation.", + "description": "Output only. The error encountered while processing the request.", + "readOnly": true, "$ref": "#/components/schemas/Status" }, "response": { + "readOnly": true, + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse" + }, + "metadata": { + "description": "Output only. The metadata associated with the request.", "type": "object", - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "readOnly": true, "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "description": "Properties of the object." } } }, + "description": "The response to a single request in the batch.", "type": "object" }, - "InlinedRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - }, - "type": "array" - } - }, - "type": "object" - }, - "Empty": { - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "properties": {}, - "type": "object" - }, - "CodeExecution": { - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "properties": {}, - "type": "object" - }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "type": "object", - "description": "Grounding support.", + "GroundingChunk": { "properties": { - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" }, - "renderedParts": { - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", - "readOnly": true, - "items": { - "format": "int32", - "type": "integer" - }, - "type": "array" + "web": { + "$ref": "#/components/schemas/Web", + "description": "Grounding chunk from the web." }, - "groundingChunkIndices": { - "items": { - "type": "integer", - "format": "int32" - }, - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", - "type": "array" + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" }, - "confidenceScores": { - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", - "items": { - "type": "number", - "format": "float" - }, - "type": "array" + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" } - } + }, + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "type": "object" }, - "FileData": { + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", "type": "object", - "description": "URI based data.", "properties": { - "fileUri": { - "type": "string", - "description": "Required. URI." - }, - "mimeType": { - "type": "string", - "description": "Optional. The IANA standard MIME type of the source data." + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SpeakerVoiceConfig" + } } } }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "InputConfig": { "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "readOnly": true, + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "inlinedResponses": { - "readOnly": true, - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedResponses" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" } }, + "description": "Configures the input to the batch request.", "type": "object" }, - "WhiteSpaceConfig": { + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", "type": "object", - "description": "Configuration for a white space chunking algorithm [white space delimited].", "properties": { - "maxTokensPerChunk": { - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", - "format": "int32", - "type": "integer" + "error": { + "description": "Output only. The error encountered while processing the request.", + "readOnly": true, + "$ref": "#/components/schemas/Status" }, - "maxOverlapTokens": { - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "format": "int32", - "type": "integer" - } - } - }, - "GoogleAiGenerativelanguageV1betaSegment": { - "type": "object", - "description": "Segment of the content.", - "properties": { - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "format": "int32", - "type": "integer" - }, - "startIndex": { - "type": "integer", - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "format": "int32" - }, - "endIndex": { - "type": "integer", - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "format": "int32" + "response": { + "description": "Output only. The response to the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentResponse" }, - "text": { - "type": "string", - "description": "The text corresponding to the segment from the response." + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "readOnly": true, + "description": "Output only. The metadata associated with the request.", + "type": "object" } } }, - "CountTokensRequest": { - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", + "GenerateContentResponse": { "properties": { - "contents": { + "promptFeedback": { + "$ref": "#/components/schemas/PromptFeedback", + "description": "Returns the prompt's feedback related to the content filters." + }, + "modelStatus": { + "description": "Output only. The current model status of this model.", + "readOnly": true, + "$ref": "#/components/schemas/ModelStatus" + }, + "modelVersion": { + "readOnly": true, + "description": "Output only. The model version used to generate the response.", + "type": "string" + }, + "responseId": { + "readOnly": true, + "description": "Output only. response_id is used to identify each response.", + "type": "string" + }, + "usageMetadata": { + "readOnly": true, + "description": "Output only. Metadata on the generation requests' token usage.", + "$ref": "#/components/schemas/UsageMetadata" + }, + "candidates": { + "description": "Candidate responses from the model.", "type": "array", - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", "items": { - "$ref": "#/components/schemas/Content" + "$ref": "#/components/schemas/Candidate" } - }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" } }, + "description": "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" }, - "InputEmbedContentConfig": { - "type": "object", - "description": "Configures the input to the batch request.", - "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" - }, - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." - } - } + "CodeExecution": { + "properties": {}, + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "type": "object" }, - "ListFileSearchStoresResponse": { + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", "type": "object", - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "properties": { - "fileSearchStores": { + "urlMetadata": { + "description": "List of url context.", "type": "array", "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "description": "The returned rag_stores." - }, - "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." - } - } - }, - "Tool": { - "type": "object", - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", - "properties": { - "mcpServers": { - "items": { - "$ref": "#/components/schemas/McpServer" - }, - "description": "Optional. MCP Servers to connect to.", - "type": "array" - }, - "functionDeclarations": { - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - }, - "type": "array" - }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" - }, - "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" - }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" - }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" + "$ref": "#/components/schemas/UrlMetadata" + } } } }, - "EmbedContentConfig": { + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", "type": "object", - "description": "Configurations for the EmbedContent request.", "properties": { - "title": { - "type": "string", - "description": "Optional. The title for the text." - }, - "autoTruncate": { - "type": "boolean", - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length." - }, - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" + "dynamicThreshold": { + "format": "float", + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number" }, - "taskType": { - "description": "Optional. The task type of the embedding.", + "mode": { "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." + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." ], "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" ], + "description": "The mode of the predictor to be used in dynamic retrieval.", "type": "string" - }, - "audioTrackExtraction": { - "type": "boolean", - "description": "Optional. Whether to extract audio from video content." - }, - "outputDimensionality": { - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", - "format": "int32", - "type": "integer" } } }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "VideoMetadata": { "properties": { - "permissions": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Permission" - }, - "description": "Returned permissions." + "startOffset": { + "description": "Optional. The start offset of the video.", + "type": "string", + "format": "google-duration" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "endOffset": { + "format": "google-duration", + "description": "Optional. The end offset of the video.", "type": "string" + }, + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "type": "number", + "format": "double" } }, - "type": "object" + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "type": "object", + "deprecated": true }, - "Content": { + "ExecutableCode": { + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", "type": "object", - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", "properties": { - "parts": { - "type": "array", - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "items": { - "$ref": "#/components/schemas/Part" - } + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "type": "string" }, - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "language": { + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "description": "Required. Programming language of the `code`.", + "type": "string" + }, + "code": { + "description": "Required. The code to be executed.", "type": "string" } } }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "ModelStatus": { + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", + "type": "object", "properties": { - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "includeServerSideToolInvocations": { - "type": "boolean", - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions." + "retirementTime": { + "description": "The time at which the model will be retired.", + "type": "string", + "format": "google-datetime" }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" - } - }, - "type": "object" - }, - "SafetySetting": { - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", - "properties": { - "category": { - "description": "Required. The category for this setting.", - "type": "string", + "modelStage": { "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." + "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": [ + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" ], "enumDeprecated": [ false, + true, false, false, false, false, - false, - false, - false, - false, - false, - false, - true - ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ] - }, - "threshold": { - "description": "Required. Controls the probability threshold at which harm is blocked.", - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ], - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" + true, + false ], + "description": "The stage of the underlying model.", "type": "string" - } - }, - "type": "object" - }, - "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": { - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ], - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "type": "string", - "description": "Required. The type of tool that was called." - }, - "args": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" }, - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "message": { + "description": "A message explaining the model status.", "type": "string" } - }, - "type": "object" + } }, - "Maps": { + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", "type": "object", - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "properties": { - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" + "title": { + "description": "Optional. Title of the document.", + "type": "string" }, - "text": { - "description": "Text description of the place answer.", + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + } + }, + "pageNumber": { + "description": "Optional. Page number of the retrieved context, if applicable.", + "type": "integer", + "format": "int32" + }, + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", "type": "string" }, - "uri": { - "description": "URI reference of the place.", + "text": { + "description": "Optional. Text of the chunk.", "type": "string" }, - "title": { - "description": "Title of the place.", + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", "type": "string" }, - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", "type": "string" } } }, - "RegisterFilesResponse": { + "CustomLongRunningOperation": { "type": "object", - "description": "Response for `RegisterFiles`.", - "properties": { - "files": { - "description": "The registered files to be used when calling GenerateContent.", - "items": { - "$ref": "#/components/schemas/File" - }, - "type": "array" - } - } - }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", "properties": { - "updateTime": { - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "format": "google-datetime", - "readOnly": true, - "type": "string" + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "createTime": { - "description": "Output only. The Timestamp of when the `Document` was created.", - "format": "google-datetime", - "readOnly": true, - "type": "string" + "error": { + "$ref": "#/components/schemas/Status", + "description": "The error result of the operation in case of failure or cancellation." }, - "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\"", + "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" }, - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" + "metadata": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." }, - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`." - }, - "mimeType": { - "type": "string", - "readOnly": true, - "description": "Output only. The mime type of the Document." - }, - "sizeBytes": { - "type": "string", - "readOnly": true, - "description": "Output only. The size of raw bytes ingested into the Document.", - "format": "int64" - }, - "state": { - "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" - ], - "type": "string", - "readOnly": true, - "description": "Output only. Current state of the `Document`." + "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" }, - "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" + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" } - }, - "type": "object" + } }, - "TuningSnapshot": { + "Candidate": { + "description": "A response candidate generated from the model.", "type": "object", - "description": "Record for a single tuning step.", "properties": { - "epoch": { - "type": "integer", - "description": "Output only. The epoch this step was part of.", - "format": "int32", + "groundingAttributions": { + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingAttribution" + }, "readOnly": true }, - "computeTime": { - "type": "string", - "description": "Output only. The timestamp when this metric was computed.", - "format": "google-datetime", + "avgLogprobs": { + "format": "double", + "description": "Output only. Average log probability score of the candidate.", + "type": "number", "readOnly": true }, - "step": { - "readOnly": true, - "description": "Output only. The tuning step.", + "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } + }, + "index": { "format": "int32", - "type": "integer" + "description": "Output only. Index of the candidate in the list of response candidates.", + "type": "integer", + "readOnly": true }, - "meanLoss": { + "citationMetadata": { + "$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.", + "readOnly": true + }, + "urlContextMetadata": { "readOnly": true, - "description": "Output only. The mean loss of the training examples for this step.", - "format": "float", - "type": "number" - } - } - }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", - "properties": { - "customMetadata": { - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the file." + "description": "Output only. Metadata related to url context retrieval tool.", + "$ref": "#/components/schemas/UrlContextMetadata" }, - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", - "type": "string" + "finishReason": { + "readOnly": true, + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response." + ], + "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" + ] }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" - } - }, - "type": "object" - }, - "SearchTypes": { - "type": "object", - "description": "Different types of search that can be enabled on the GoogleSearch tool.", - "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" + "logprobsResult": { + "readOnly": true, + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "$ref": "#/components/schemas/LogprobsResult" }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" + "finishMessage": { + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "type": "string", + "readOnly": true + }, + "tokenCount": { + "description": "Output only. Token count for this candidate.", + "type": "integer", + "readOnly": true, + "format": "int32" + }, + "content": { + "$ref": "#/components/schemas/Content", + "readOnly": true, + "description": "Output only. Generated content returned from the model." + }, + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata" } } }, - "PlaceAnswerSources": { + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", "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": { + "citationSources": { + "description": "Citations to sources for a specific response.", "type": "array", - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", "items": { - "$ref": "#/components/schemas/ReviewSnippet" + "$ref": "#/components/schemas/CitationSource" } } } }, - "SafetyRating": { + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", "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.", - "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." - ], - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ] - }, - "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" + "groundingPassage": { + "$ref": "#/components/schemas/GroundingPassageId", + "description": "Identifier for an inline passage." }, - "blocked": { - "type": "boolean", - "description": "Was this content blocked because of this rating?" + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" } } }, - "VideoMetadata": { - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "BatchEmbedContentsResponse": { "properties": { - "startOffset": { - "description": "Optional. The start offset of the video.", - "format": "google-duration", - "type": "string" - }, - "endOffset": { - "description": "Optional. The end offset of the video.", - "format": "google-duration", - "type": "string" + "embeddings": { + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/ContentEmbedding" + }, + "readOnly": true }, - "fps": { - "type": "number", - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "format": "double" + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } }, - "type": "object", - "deprecated": true + "description": "The response to a `BatchEmbedContentsRequest`.", + "type": "object" }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", + "TunedModel": { "properties": { - "name": { - "type": "string", - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`" + "temperature": { + "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.", + "type": "number" }, - "mimeType": { - "description": "MIME type of the generatedFile.", + "description": { + "description": "Optional. A short description of this model.", "type": "string" }, - "state": { - "type": "string", - "readOnly": true, - "description": "Output only. The state of the GeneratedFile.", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ] + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" - } - }, - "type": "object" - }, - "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", - "properties": { - "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" + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "displayName": { + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "type": "string" }, - "maxOutputTokens": { - "type": "integer", - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "format": "int32" + "name": { + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "type": "string", + "readOnly": true }, - "responseSchema": { - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", - "$ref": "#/components/schemas/Schema" + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" }, - "frequencyPenalty": { - "type": "number", - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "format": "float" + "state": { + "readOnly": true, + "description": "Output only. The state of the tuned model.", + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." + ], + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ] }, - "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" + "createTime": { + "readOnly": true, + "description": "Output only. The timestamp when this model was created.", + "type": "string", + "format": "google-datetime" }, - "candidateCount": { - "type": "integer", - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "format": "int32" + "readerProjectNumbers": { + "description": "Optional. List of project numbers that have read access to the tuned model.", + "type": "array", + "items": { + "type": "string", + "format": "int64" + } }, - "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].", + "topK": { "format": "int32", + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", "type": "integer" }, - "enableEnhancedCivicAnswers": { - "type": "boolean", - "description": "Optional. Enables enhanced civic answers. It may not be available for all models." + "updateTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The timestamp when this model was updated.", + "type": "string" }, - "topK": { - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "topP": { + "format": "float", + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", + "type": "number" + } + }, + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "type": "object" + }, + "EmbedContentRequest": { + "properties": { + "outputDimensionality": { "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, "type": "integer" }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" - }, - "responseMimeType": { - "type": "string", - "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types." - }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" - }, - "imageConfig": { - "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", - "$ref": "#/components/schemas/ImageConfig" + "embedContentConfig": { + "$ref": "#/components/schemas/EmbedContentConfig", + "description": "Optional. Configuration for the EmbedContent request." }, - "topP": { - "type": "number", - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "format": "float" + "content": { + "$ref": "#/components/schemas/Content", + "description": "Required. The content to embed. Only the `parts.text` fields will be counted." }, - "mediaResolution": { - "type": "string", + "taskType": { "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)." + "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": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" ], - "description": "Optional. If specified, the media resolution specified will be used." - }, - "seed": { - "type": "integer", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "format": "int32" - }, - "responseModalities": { - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", - "items": { - "type": "string", - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ] - }, - "type": "array" + "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`).", + "type": "string", + "deprecated": true }, - "presencePenalty": { - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", - "format": "float", - "type": "number" + "title": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "deprecated": true, + "type": "string" }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "format": "float", - "type": "number" + "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" } }, + "description": "Request containing the `Content` for the model to embed.", "type": "object" }, - "SpeakerVoiceConfig": { + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "type": "object", - "description": "The configuration for a single speaker in a multi speaker setup.", "properties": { - "speaker": { - "type": "string", - "description": "Required. The name of the speaker to use. Should be the same as in the prompt." + "batchSize": { + "format": "int32", + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "type": "integer" }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" + "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": "float" + }, + "learningRateMultiplier": { + "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.", + "type": "number" } } }, - "CreateFileResponse": { + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", "type": "object", - "description": "Response for `CreateFile`.", "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + "headers": { + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object", + "additionalProperties": { + "type": "string" + } + }, + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" + }, + "timeout": { + "description": "HTTP timeout for regular operations.", + "type": "string", + "format": "google-duration" + }, + "sseReadTimeout": { + "description": "Timeout for SSE read operations.", + "type": "string", + "format": "google-duration" + }, + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" } } }, - "SemanticRetrieverChunk": { - "type": "object", - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "FunctionResponse": { "properties": { - "chunk": { - "type": "string", - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "readOnly": true - }, - "source": { - "type": "string", - "readOnly": true, - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`" - } - } - }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", - "properties": { - "name": { - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - }, - "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." - ], - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "type": "string", - "readOnly": true, - "description": "Output only. The state of the batch." - }, - "output": { - "readOnly": true, - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/EmbedContentBatchOutput" + "response": { + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "createTime": { - "type": "string", - "description": "Output only. The time at which the batch was created.", - "format": "google-datetime", - "readOnly": true + "willContinue": { + "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", + "type": "boolean" }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "format": "int64", - "type": "string" + "parts": { + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionResponsePart" + } }, - "updateTime": { - "readOnly": true, - "description": "Output only. The time at which the batch was last updated.", - "format": "google-datetime", + "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" }, - "model": { + "scheduling": { + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." - }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/EmbedContentBatchStats", - "readOnly": true + "x-enum-descriptions": [ + "This value is unused.", + "Only add the result to the conversation context, do not interrupt or trigger generation.", + "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", + "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + ], + "enum": [ + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ] }, - "displayName": { - "description": "Required. The user-defined name of this batch.", + "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" - }, - "endTime": { - "type": "string", - "description": "Output only. The time at which the batch processing completed.", - "format": "google-datetime", - "readOnly": true } }, + "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" }, - "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", + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", + "type": "object", "properties": { - "name": { - "readOnly": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "contents": { + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } + }, + "safetySettings": { + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetySetting" + } + }, + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", "type": "string" }, - "emailAddress": { - "type": "string", - "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE." + "toolConfig": { + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", + "$ref": "#/components/schemas/ToolConfig" }, - "granteeType": { - "type": "string", + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "serviceTier": { "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." ], "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" + "unspecified", + "standard", + "flex", + "priority" ], - "description": "Optional. Immutable. The type of the grantee." + "description": "Optional. The service tier of the request.", + "type": "string" }, - "role": { - "description": "Required. The role granted by this permission.", - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ], - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ] + "generationConfig": { + "$ref": "#/components/schemas/GenerationConfig", + "description": "Optional. Configuration options for model generation and outputs." + }, + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" + }, + "tools": { + "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": { + "$ref": "#/components/schemas/Tool" + } } - }, - "type": "object" + } }, - "CustomMetadata": { - "type": "object", - "description": "User provided metadata stored as key-value pairs.", + "CitationSource": { "properties": { - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" + "startIndex": { + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "type": "integer", + "format": "int32" }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer", + "format": "int32" }, - "stringValue": { - "type": "string", - "description": "The string value of the metadata to store." + "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" }, - "numericValue": { - "type": "number", - "description": "The numeric value of the metadata to store.", - "format": "float" + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" } - } + }, + "description": "A citation to a source for a portion of a specific response.", + "type": "object" }, - "Blob": { - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "StringList": { "properties": { - "mimeType": { - "type": "string", - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //" - }, - "data": { - "type": "string", - "description": "Raw bytes for media formats.", - "format": "byte" + "values": { + "description": "The string values of the metadata to store.", + "type": "array", + "items": { + "type": "string" + } } }, + "description": "User provided string values assigned to a single metadata key.", "type": "object" }, - "WebSearch": { + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", "type": "object", - "description": "Standard web search for grounding and related configurations.", - "properties": {} - }, - "ModalityTokenCount": { - "description": "Represents token counting info for a single modality.", "properties": { - "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." + "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" + }, + "serviceTier": { + "readOnly": true, + "description": "Output only. Service tier of the request.", + "type": "string", + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." ], "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" + "unspecified", + "standard", + "flex", + "priority" ] }, - "tokenCount": { - "description": "Number of tokens.", - "format": "int32", - "type": "integer" - } - }, - "type": "object" - }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", - "properties": { - "values": { + "toolUsePromptTokensDetails": { + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true + }, + "promptTokensDetails": { + "readOnly": true, + "description": "Output only. List of modalities that were processed in the request input.", "type": "array", - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "items": { - "format": "float", - "type": "number" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "shape": { + "cacheTokensDetails": { + "description": "Output only. List of modalities of the cached content in the request input.", + "type": "array", "items": { - "type": "integer", - "format": "int32" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "type": "array" + "readOnly": true + }, + "toolUsePromptTokenCount": { + "readOnly": true, + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "type": "integer", + "format": "int32" + }, + "candidatesTokenCount": { + "format": "int32", + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer" + }, + "totalTokenCount": { + "format": "int32", + "description": "Total token count for the generation request (prompt + thoughts + response candidates).", + "type": "integer" + }, + "candidatesTokensDetails": { + "description": "Output only. List of modalities that were returned in the response.", + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true + }, + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", + "type": "integer", + "readOnly": true, + "format": "int32" + }, + "cachedContentTokenCount": { + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "type": "integer" + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } } - }, - "type": "object" + } }, - "CachedContentUsageMetadata": { + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "type": "object", - "description": "Metadata on the usage of the cached content.", "properties": { - "totalTokenCount": { - "type": "integer", - "description": "Total number of tokens that the cached content consumes.", - "format": "int32" + "webSearch": { + "$ref": "#/components/schemas/WebSearch", + "description": "Optional. Enables web search. Only text results are returned." + }, + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" } } }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", + "VideoFileMetadata": { "properties": { - "candidates": { - "description": "Sorted by log probability in descending order.", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "type": "array" + "videoDuration": { + "format": "google-duration", + "description": "Duration of the video.", + "type": "string" } }, + "description": "Metadata for a video `File`.", "type": "object" }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "McpServer": { "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "metadata": { - "type": "object", - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - } + "name": { + "description": "The name of the MCPServer.", + "type": "string" } }, + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", "type": "object" }, - "DynamicRetrievalConfig": { - "description": "Describes the options to customize dynamic retrieval.", + "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": { - "mode": { - "description": "The mode of the predictor to be used in dynamic retrieval.", + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" + }, + "googleSearch": { + "$ref": "#/components/schemas/GoogleSearch", + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + }, + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" + }, + "codeExecution": { + "$ref": "#/components/schemas/CodeExecution", + "description": "Optional. Enables the model to execute code as part of generation." + }, + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "mcpServers": { + "description": "Optional. MCP Servers to connect to.", + "type": "array", + "items": { + "$ref": "#/components/schemas/McpServer" + } + }, + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" + }, + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" + }, + "functionDeclarations": { + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + } + } + } + }, + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "type": "object", + "properties": { + "blockReason": { + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "type": "string", "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." ], "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ], - "type": "string" + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ] }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "format": "float", - "type": "number" + "safetyRatings": { + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } } - }, - "type": "object" + } }, "TuningExample": { - "type": "object", "description": "A single example for tuning.", + "type": "object", "properties": { "textInput": { - "type": "string", - "description": "Optional. Text model input." + "description": "Optional. Text model input.", + "type": "string" }, "output": { "description": "Required. The expected model output.", @@ -4061,651 +3966,702 @@ } } }, - "UrlMetadata": { + "FunctionDeclaration": { + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "type": "object", - "description": "Context of the a single url retrieval.", "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" + "responseJsonSchema": { + "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." }, - "urlRetrievalStatus": { - "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." + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + }, + "parameters": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter." + }, + "response": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function." + }, + "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": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" ], - "type": "string", - "description": "Status of the url retrieval." + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "type": "string" + }, + "name": { + "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", + "type": "string" + }, + "description": { + "description": "Required. A brief description of the function.", + "type": "string" } } }, - "InputConfig": { + "CreateFileResponse": { + "description": "Response for `CreateFile`.", "type": "object", - "description": "Configures the input to the batch request.", "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" - }, - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" } } }, - "GoogleSearchRetrieval": { + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", "type": "object", - "description": "Tool to retrieve public web data for grounding, powered by Google.", "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "documents": { + "description": "The returned `Document`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Document" + } + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "BatchStats": { + "Dataset": { + "properties": { + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" + } + }, + "description": "Dataset for training or validation.", + "type": "object" + }, + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", "type": "object", - "description": "Stats about the batch.", + "properties": {} + }, + "CodeExecutionResult": { "properties": { - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "format": "int64", - "readOnly": true, + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", "type": "string" }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "format": "int64", - "readOnly": true, + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", "type": "string" }, - "pendingRequestCount": { + "outcome": { + "description": "Required. Outcome of the code execution.", "type": "string", - "readOnly": true, - "description": "Output only. The number of requests that are still pending processing.", - "format": "int64" - }, - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "format": "int64", - "readOnly": true, - "type": "string" + "x-enum-descriptions": [ + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ], + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ] } - } + }, + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "type": "object" }, - "ChunkingConfig": { + "Status": { + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "type": "object", - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "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" + }, + "code": { + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code.", + "type": "integer" + }, + "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": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object" + } } } }, - "UsageMetadata": { + "CreateFileRequest": { + "properties": { + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" + } + }, + "description": "Request for `CreateFile`.", + "type": "object" + }, + "Blob": { + "properties": { + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", + "type": "string" + }, + "data": { + "format": "byte", + "description": "Raw bytes for media formats.", + "type": "string" + } + }, + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "type": "object" + }, + "TransferOwnershipRequest": { + "properties": { + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" + } + }, + "description": "Request to transfer the ownership of the tuned model.", + "type": "object" + }, + "InlinedRequests": { + "properties": { + "requests": { + "description": "Required. The requests to be processed in the batch.", + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedRequest" + } + } + }, + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object" + }, + "GeneratedFile": { + "description": "A file generated on behalf of a user.", "type": "object", - "description": "Metadata on the generation request's token usage.", "properties": { - "cachedContentTokenCount": { - "type": "integer", - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "format": "int32" + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" }, - "serviceTier": { + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" + }, + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" + }, + "state": { "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." ], "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" ], + "description": "Output only. The state of the GeneratedFile.", "type": "string", - "description": "Output only. Service tier of the request.", "readOnly": true - }, - "toolUsePromptTokensDetails": { + } + } + }, + "InlinedEmbedContentRequests": { + "properties": { + "requests": { + "description": "Required. The requests to be processed in the batch.", "type": "array", - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/InlinedEmbedContentRequest" } + } + }, + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object" + }, + "Interval": { + "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", + "type": "object", + "properties": { + "startTime": { + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "type": "string", + "format": "google-datetime" }, - "promptTokenCount": { - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "format": "int32", - "type": "integer" - }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "endTime": { + "format": "google-datetime", + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", + "type": "string" + } + } + }, + "ToolResponse": { + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", + "type": "object", + "properties": { + "response": { + "additionalProperties": { + "description": "Properties of the object." }, - "type": "array" - }, - "thoughtsTokenCount": { - "readOnly": true, - "description": "Output only. Number of tokens of thoughts for thinking models.", - "format": "int32", - "type": "integer" + "description": "Optional. The tool response.", + "type": "object" }, - "totalTokenCount": { - "type": "integer", - "description": "Total token count for the generation request (prompt + thoughts + response candidates).", - "format": "int32" + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" }, - "candidatesTokensDetails": { - "description": "Output only. List of modalities that were returned in the response.", + "toolType": { + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "type": "string" + } + } + }, + "PrebuiltVoiceConfig": { + "properties": { + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" + } + }, + "description": "The configuration for the prebuilt speaker to use.", + "type": "object" + }, + "Empty": { + "properties": {}, + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "type": "object" + }, + "InlinedEmbedContentResponses": { + "properties": { + "inlinedResponses": { "readOnly": true, + "description": "Output only. The responses to the requests in the batch.", + "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "type": "array" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + } + } + }, + "description": "The responses to the requests in the batch.", + "type": "object" + }, + "ListModelsResponse": { + "properties": { + "models": { + "description": "The returned Models.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Model" + } }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + } + }, + "description": "Response from `ListModel` containing a paginated list of Models.", + "type": "object" + }, + "CountTokensResponse": { + "properties": { + "totalTokens": { "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", "type": "integer" }, - "toolUsePromptTokenCount": { - "description": "Output only. Number of tokens present in tool-use prompt(s).", + "cachedContentTokenCount": { "format": "int32", - "readOnly": true, + "description": "Number of tokens in the cached part of the prompt (the cached content).", "type": "integer" }, + "promptTokensDetails": { + "readOnly": true, + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, "cacheTokensDetails": { + "description": "Output only. List of modalities that were processed in the cached content.", "type": "array", - "readOnly": true, "items": { "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Output only. List of modalities of the cached content in the request input." - }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", "readOnly": true - }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + } + }, + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "type": "object" + }, + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", + "type": "object", + "properties": { + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "type": "array", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" } } } }, - "FileSearchStore": { + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", "type": "object", - "description": "A `FileSearchStore` is a collection of `Document`s.", "properties": { - "updateTime": { - "type": "string", - "readOnly": true, - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "format": "google-datetime" - }, - "activeDocumentsCount": { - "type": "string", - "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "format": "int64" - }, - "failedDocumentsCount": { - "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", - "format": "int64", - "readOnly": true - }, - "displayName": { - "type": "string", - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GeneratedFile" + } }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", - "format": "int64", - "readOnly": true, + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", "type": "string" + } + } + }, + "ImageSearch": { + "properties": {}, + "description": "Image search for grounding and related configurations.", + "type": "object" + }, + "GroundingChunkCustomMetadata": { + "description": "User provided metadata about the GroundingFact.", + "type": "object", + "properties": { + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" }, - "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.", + "stringValue": { + "description": "Optional. The string value of the metadata.", "type": "string" }, - "pendingDocumentsCount": { - "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "format": "int64", - "readOnly": true + "numericValue": { + "format": "float", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number" }, - "createTime": { - "readOnly": true, - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "format": "google-datetime", + "key": { + "description": "The key of the metadata.", "type": "string" - }, - "name": { - "type": "string", - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", - "readOnly": true } } }, - "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.", + "FunctionCall": { "properties": { "name": { - "type": "string", - "readOnly": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`" - }, - "expireTime": { - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "format": "google-datetime", - "type": "string" - }, - "createTime": { - "description": "Output only. Creation time of the cache entry.", - "format": "google-datetime", - "readOnly": true, + "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" }, - "tools": { - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "items": { - "$ref": "#/components/schemas/Tool" - }, - "type": "array" + "args": { + "description": "Optional. The function parameters and values in JSON object format.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "ttl": { - "description": "Input only. New TTL for this resource, input only.", - "format": "google-duration", + "id": { + "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", "type": "string" - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "updateTime": { - "type": "string", - "description": "Output only. When the cache entry was last updated in UTC time.", - "format": "google-datetime", - "readOnly": true - }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. Metadata on the usage of the cached content.", - "$ref": "#/components/schemas/CachedContentUsageMetadata" - }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + } + }, + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "type": "object" + }, + "LogprobsResultCandidate": { + "properties": { + "token": { + "description": "The candidate\u2019s token string value.", "type": "string" }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" - }, - "displayName": { - "type": "string", - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters." + "tokenId": { + "format": "int32", + "description": "The candidate\u2019s token id value.", + "type": "integer" }, - "contents": { - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Optional. Input only. Immutable. The content to cache.", - "type": "array" + "logProbability": { + "format": "float", + "description": "The candidate's log probability.", + "type": "number" } }, + "description": "Candidate for the logprobs token and score.", "type": "object" }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", + "Content": { "properties": { - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" - }, - "operations": { - "description": "A list of operations that matches the specified filter in the request.", + "parts": { + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "type": "array", "items": { - "$ref": "#/components/schemas/Operation" - }, - "type": "array" + "$ref": "#/components/schemas/Part" + } }, - "unreachable": { - "items": { - "type": "string" - }, - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", - "type": "array" + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "type": "string" } }, + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", "type": "object" }, - "ListCorporaResponse": { + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", "type": "object", - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", "properties": { - "corpora": { + "cachedContents": { + "description": "List of cached contents.", + "type": "array", "items": { - "$ref": "#/components/schemas/Corpus" - }, - "description": "The returned corpora.", - "type": "array" + "$ref": "#/components/schemas/CachedContent" + } }, "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "type": "string" } } }, - "EmbedContentBatchOutput": { + "TuningTask": { + "description": "Tuning tasks that create tuned models.", "type": "object", - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "properties": { - "responsesFile": { + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" + }, + "startTime": { + "description": "Output only. The timestamp when tuning this model started.", "type": "string", - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "readOnly": true + "readOnly": true, + "format": "google-datetime" }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "completeTime": { + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model completed.", + "type": "string", "readOnly": true + }, + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" + }, + "snapshots": { + "readOnly": true, + "description": "Output only. Metrics collected during tuning.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + } } } }, - "FunctionResponse": { + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", "type": "object", - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "properties": { - "parts": { - "type": "array", - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - }, - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types." + "batchStats": { + "$ref": "#/components/schemas/BatchStats", + "readOnly": true, + "description": "Output only. Stats about the batch." }, - "name": { + "state": { + "description": "Output only. The state of the batch.", "type": "string", - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." - }, - "scheduling": { "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." ], "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" ], - "type": "string", - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE." + "readOnly": true }, - "response": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", - "type": "object" + "output": { + "$ref": "#/components/schemas/GenerateContentBatchOutput", + "readOnly": true, + "description": "Output only. The output of the batch request." }, - "willContinue": { - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", - "type": "boolean" + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "id": { - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" + }, + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "type": "string", + "readOnly": true, + "format": "google-datetime" + }, + "name": { + "readOnly": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "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" + }, + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "type": "string", + "readOnly": true, + "format": "google-datetime" + }, + "createTime": { + "readOnly": true, + "description": "Output only. The time at which the batch was created.", + "type": "string", + "format": "google-datetime" + }, + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" } } }, - "ThinkingConfig": { + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", "type": "object", - "description": "Config for thinking features.", "properties": { - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" + "title": { + "description": "Optional. The title of the schema.", + "type": "string" }, - "thinkingLevel": { - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", - "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." - ], - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ], + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", "type": "string" }, - "thinkingBudget": { - "type": "integer", - "description": "The number of thoughts tokens that the model should generate.", - "format": "int32" - } - } - }, - "InlinedEmbedContentRequest": { - "description": "The request to be processed in the batch.", - "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" + "maxProperties": { + "format": "int64", + "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "type": "string" }, - "metadata": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The metadata to be associated with the request." - } - }, - "type": "object" - }, - "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.", - "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" - } - }, - "type": "object" - }, - "GenerateContentRequest": { - "type": "object", - "description": "Request to generate a completion from the model.", - "properties": { - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", - "type": "string" - }, - "tools": { - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "type": "array" - }, - "safetySettings": { - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", - "items": { - "$ref": "#/components/schemas/SafetySetting" - }, - "type": "array" - }, - "store": { - "type": "boolean", - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." - }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" - }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" - }, - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" - }, - "serviceTier": { - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], - "type": "string", - "description": "Optional. The service tier of the request." - }, - "contents": { - "type": "array", - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "items": { - "$ref": "#/components/schemas/Content" - } - } - } - }, - "ExecutableCode": { - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", - "properties": { - "language": { - "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." - ], - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ], + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", "type": "string", - "description": "Required. Programming language of the `code`." - }, - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", - "type": "string" - }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" - } - }, - "type": "object" - }, - "Schema": { - "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": { - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" + "format": "int64" }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" }, "properties": { + "description": "Optional. Properties of Type.OBJECT.", "type": "object", "additionalProperties": { "$ref": "#/components/schemas/Schema" - }, - "description": "Optional. Properties of Type.OBJECT." - }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + } }, - "maxItems": { - "type": "string", - "description": "Optional. Maximum number of the elements for Type.ARRAY.", - "format": "int64" + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." }, "propertyOrdering": { + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "type": "array", "items": { "type": "string" - }, - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", - "type": "array" - }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" + } }, "minProperties": { "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "format": "int64", - "type": "string" + "type": "string", + "format": "int64" + }, + "required": { + "description": "Optional. Required properties of Type.OBJECT.", + "type": "array", + "items": { + "type": "string" + } }, "minimum": { - "type": "number", "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "type": "number", "format": "double" }, + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" + }, "anyOf": { "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "type": "array", "items": { "$ref": "#/components/schemas/Schema" - }, - "type": "array" - }, - "minItems": { - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "format": "int64", - "type": "string" - }, - "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." + } }, "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", "type": "number" }, + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, "type": { "description": "Required. Data type.", + "type": "string", "x-enum-descriptions": [ "Not specified, should not be used.", "String type.", @@ -4725,199 +4681,165 @@ "ARRAY", "OBJECT", "NULL" - ], - "type": "string" - }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", - "type": "string" - }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" + ] }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "format": "int64", - "type": "string" + "items": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Schema of the elements of Type.ARRAY." }, "enum": { - "type": "array", "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "type": "array", "items": { "type": "string" } }, + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", "format": "int64", + "description": "Optional. Maximum length of the Type.STRING", "type": "string" }, - "maxProperties": { - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "format": "int64", + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", "type": "string" }, - "required": { - "type": "array", - "description": "Optional. Required properties of Type.OBJECT.", - "items": { - "type": "string" - } - }, "example": { "description": "Optional. Example of the object. Will only populated when the object is the root." } } }, - "LogprobsResult": { - "type": "object", - "description": "Logprobs Result", + "RetrievalConfig": { "properties": { - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "format": "float", - "type": "number" + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" }, - "chosenCandidates": { + "languageCode": { + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "type": "string" + } + }, + "description": "Retrieval config.", + "type": "object" + }, + "CountTokensRequest": { + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", + "type": "object", + "properties": { + "contents": { + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", "type": "array", - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/Content" } }, - "topCandidates": { - "items": { - "$ref": "#/components/schemas/TopCandidates" - }, - "description": "Length = total number of decoding steps.", - "type": "array" + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" } } }, - "FunctionResponseBlob": { + "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": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "properties": { - "mimeType": { - "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)." + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" }, - "data": { + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" + }, + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", "type": "string", - "description": "Raw bytes for media formats.", "format": "byte" - } - } - }, - "InlinedEmbedContentRequests": { - "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": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - }, - "description": "Required. The requests to be processed in the batch." - } - } - }, - "FileSearch": { - "type": "object", - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", - "properties": { - "fileSearchStoreNames": { - "items": { - "type": "string" - }, - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", - "type": "array" }, - "topK": { - "type": "integer", - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "format": "int32" + "text": { + "description": "Inline text.", + "type": "string" }, - "metadataFilter": { - "type": "string", - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks." - } - } - }, - "GroundingAttribution": { - "type": "object", - "description": "Attribution for a source that contributed to an answer.", - "properties": { - "sourceId": { - "description": "Output only. Identifier for the source contributing to this attribution.", - "$ref": "#/components/schemas/AttributionSourceId", - "readOnly": true + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "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.", + "$ref": "#/components/schemas/ToolCall" + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "inlineData": { + "$ref": "#/components/schemas/Blob", + "description": "Inline media bytes." + }, + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "partMetadata": { + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" + }, + "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" + }, + "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.", + "$ref": "#/components/schemas/FunctionResponse" } } }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", - "properties": { - "values": { - "items": { - "type": "string" - }, - "description": "The string values of the metadata to store.", - "type": "array" - } - }, - "type": "object" - }, - "GenerateContentBatch": { - "description": "A resource representing a batch of `GenerateContent` requests.", + "EmbedContentBatch": { "properties": { "priority": { - "type": "string", + "format": "int64", "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "format": "int64" - }, - "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." + "type": "string" }, "endTime": { - "description": "Output only. The time at which the batch processing completed.", "format": "google-datetime", "readOnly": true, + "description": "Output only. The time at which the batch processing completed.", "type": "string" }, - "updateTime": { - "readOnly": true, - "description": "Output only. The time at which the batch was last updated.", + "createTime": { "format": "google-datetime", + "readOnly": true, + "description": "Output only. The time at which the batch was created.", "type": "string" }, - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" }, "batchStats": { + "$ref": "#/components/schemas/EmbedContentBatchStats", "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/BatchStats", "readOnly": true }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true, - "type": "string" - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" - }, "state": { "description": "Output only. The state of the batch.", - "readOnly": true, "type": "string", "x-enum-descriptions": [ "The batch state is unspecified.", @@ -4936,1755 +4858,1833 @@ "BATCH_STATE_FAILED", "BATCH_STATE_CANCELLED", "BATCH_STATE_EXPIRED" - ] + ], + "readOnly": true }, "output": { + "$ref": "#/components/schemas/EmbedContentBatchOutput", "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput", "readOnly": true }, - "createTime": { + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" + }, + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", "type": "string", "readOnly": true, - "description": "Output only. The time at which the batch was created.", "format": "google-datetime" + }, + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "type": "string", + "readOnly": true } }, + "description": "A resource representing a batch of `EmbedContent` requests.", "type": "object" }, - "InlinedEmbedContentResponses": { + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "type": "object", - "description": "The responses to the requests in the batch.", "properties": { - "inlinedResponses": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "description": "Output only. The responses to the requests in the batch." + "role": { + "description": "Required. The role granted by this permission.", + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ], + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ] + }, + "name": { + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "type": "string", + "readOnly": true + }, + "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" + ] + }, + "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" } } }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", + "ReviewSnippet": { "properties": { - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" - }, - "displayName": { - "description": "Optional. Display name of the created document.", + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", "type": "string" }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data.", - "type": "array" + "reviewId": { + "description": "The ID of the review snippet.", + "type": "string" }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "title": { + "description": "Title of the review.", "type": "string" } }, + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", "type": "object" }, - "GoogleSearch": { - "type": "object", - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "EmbedContentResponse": { "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).", - "$ref": "#/components/schemas/Interval" + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" + "embedding": { + "$ref": "#/components/schemas/ContentEmbedding", + "description": "Output only. The embedding generated from the input content.", + "readOnly": true } - } + }, + "description": "The response to an `EmbedContentRequest`.", + "type": "object" }, - "EmbedContentRequest": { + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", "type": "object", - "description": "Request containing the `Content` for the model to embed.", "properties": { - "outputDimensionality": { - "type": "integer", - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", - "format": "int32", - "deprecated": true + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "type": "string" }, - "taskType": { + "toolType": { + "description": "Required. The type of tool that was called.", "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": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." ], "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "deprecated": true - }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" - }, - "model": { - "type": "string", - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`" - }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ] }, - "title": { - "deprecated": true, - "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", - "type": "string" + "args": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "type": "object" } } }, - "StreamableHttpTransport": { + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", "type": "object", - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", "properties": { - "terminateOnClose": { - "type": "boolean", - "description": "Whether to close the client session when the transport closes." - }, - "url": { - "type": "string", - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" + "key": { + "description": "Required. The key of the metadata to store.", + "type": "string" }, - "headers": { - "type": "object", - "additionalProperties": { - "type": "string" - }, - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed." + "stringListValue": { + "$ref": "#/components/schemas/StringList", + "description": "The StringList value of the metadata to store." }, - "timeout": { - "description": "HTTP timeout for regular operations.", - "format": "google-duration", + "stringValue": { + "description": "The string value of the metadata to store.", "type": "string" }, - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", - "format": "google-duration", - "type": "string" + "numericValue": { + "description": "The numeric value of the metadata to store.", + "type": "number", + "format": "float" } } }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", + "type": "object", "properties": { - "title": { - "description": "Optional. Title of the document.", - "type": "string" - }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" - }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - }, - "description": "Optional. User-provided metadata about the retrieved context.", - "type": "array" - }, - "pageNumber": { - "type": "integer", - "description": "Optional. Page number of the retrieved context, if applicable.", - "format": "int32" - }, - "uri": { - "type": "string", - "description": "Optional. URI reference of the semantic retrieval document." - }, - "text": { - "type": "string", - "description": "Optional. Text of the chunk." + "requests": { + "$ref": "#/components/schemas/InlinedEmbedContentRequests", + "description": "The requests to be processed in the batch." + } + } + }, + "RetrievalMetadata": { + "properties": { + "googleSearchDynamicRetrievalScore": { + "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.", + "type": "number" } }, + "description": "Metadata related to retrieval in the grounding flow.", "type": "object" }, - "Corpus": { + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", "type": "object", - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "properties": { - "createTime": { - "readOnly": true, - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "format": "google-datetime", - "type": "string" - }, - "updateTime": { - "readOnly": true, - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "format": "google-datetime", - "type": "string" - }, - "name": { - "type": "string", - "readOnly": true, - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`" - }, - "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" + "files": { + "description": "The registered files to be used when calling GenerateContent.", + "type": "array", + "items": { + "$ref": "#/components/schemas/File" + } } } }, - "BatchGenerateContentRequest": { + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "type": "object", - "description": "Request for a `BatchGenerateContent` operation.", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + "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" } } }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "SafetySetting": { "properties": { - "requestCount": { - "type": "string", - "description": "Output only. The number of requests in the batch.", - "format": "int64", - "readOnly": true - }, - "successfulRequestCount": { - "readOnly": true, - "description": "Output only. The number of requests that were successfully processed.", - "format": "int64", + "category": { + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "description": "Required. The category for this setting.", "type": "string" }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "format": "int64", - "readOnly": true, + "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" - }, - "failedRequestCount": { - "type": "string", - "readOnly": true, - "description": "Output only. The number of requests that failed to be processed.", - "format": "int64" } }, + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "type": "object" }, - "CitationSource": { - "description": "A citation to a source for a portion of a specific response.", + "ChunkingConfig": { "properties": { - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" - }, - "startIndex": { - "type": "integer", - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", - "format": "int32" - }, - "endIndex": { - "description": "Optional. End of the attributed segment, exclusive.", - "format": "int32", - "type": "integer" - }, - "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." + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" } }, + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", "type": "object" }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", - "properties": {}, - "type": "object" - }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", + "ImageConfig": { "properties": { - "startTime": { - "readOnly": true, - "description": "Output only. The timestamp when tuning this model started.", - "format": "google-datetime", + "aspectRatio": { + "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", "type": "string" }, - "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": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/TuningSnapshot" - }, - "description": "Output only. Metrics collected during tuning." - }, - "completeTime": { - "type": "string", - "readOnly": true, - "description": "Output only. The timestamp when tuning this model completed.", - "format": "google-datetime" + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "type": "string" } }, + "description": "Config for image generation features.", "type": "object" }, - "AttributionSourceId": { + "ListFileSearchStoresResponse": { + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "type": "object", - "description": "Identifier for the source contributing to this attribution.", "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" + "fileSearchStores": { + "description": "The returned rag_stores.", + "type": "array", + "items": { + "$ref": "#/components/schemas/FileSearchStore" + } }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "BatchEmbedContentsResponse": { + "ListTunedModelsResponse": { + "description": "Response from `ListTunedModels` containing a paginated list of Models.", "type": "object", - "description": "The response to a `BatchEmbedContentsRequest`.", "properties": { - "embeddings": { + "tunedModels": { + "description": "The returned Models.", "type": "array", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ContentEmbedding" - }, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request." + "$ref": "#/components/schemas/TunedModel" + } }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "readOnly": true - } - } - }, - "ListGeneratedFilesResponse": { - "type": "object", - "description": "Response for `ListGeneratedFiles`.", - "properties": { "nextPageToken": { - "type": "string", - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." - }, - "generatedFiles": { - "items": { - "$ref": "#/components/schemas/GeneratedFile" - }, - "description": "The list of `GeneratedFile`s.", - "type": "array" + "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" } } }, - "SearchEntryPoint": { - "description": "Google search entry point.", + "FunctionResponsePart": { "properties": { - "renderedContent": { - "type": "string", - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview." - }, - "sdkBlob": { - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "format": "byte", - "type": "string" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" } }, + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "type": "object" }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "Document": { + "description": "A `Document` is a collection of `Chunk`s.", + "type": "object", "properties": { - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "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" }, - "outcome": { - "x-enum-descriptions": [ - "Unspecified status. This value should not be used.", - "Code execution completed successfully. `output` contains the stdout, if any.", - "Code execution failed. `output` contains the stderr and stdout, if any.", - "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." - ], - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], - "type": "string", - "description": "Required. Outcome of the code execution." - }, - "id": { - "type": "string", - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id." - } - }, - "type": "object" - }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", - "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", - "type": "string" - } - }, - "type": "object" - }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", - "properties": { - "promptTokenDetails": { - "description": "Output only. List of modalities that were processed in the request input.", + "createTime": { + "format": "google-datetime", "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "type": "array" + "description": "Output only. The Timestamp of when the `Document` was created.", + "type": "string" }, - "promptTokenCount": { + "sizeBytes": { + "format": "int64", "readOnly": true, - "description": "Output only. Number of tokens in the prompt.", - "format": "int32", - "type": "integer" - } - }, - "type": "object" - }, - "GroundingChunkCustomMetadata": { - "type": "object", - "description": "User provided metadata about the GroundingFact.", - "properties": { - "numericValue": { - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", - "format": "float", - "type": "number" + "description": "Output only. The size of raw bytes ingested into the Document.", + "type": "string" }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" + "customMetadata": { + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + } }, - "key": { - "description": "The key of the metadata.", - "type": "string" + "updateTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "type": "string", + "readOnly": true }, - "stringValue": { + "mimeType": { + "description": "Output only. The mime type of the Document.", "type": "string", - "description": "Optional. The string value of the metadata." - } - } - }, - "FunctionDeclaration": { - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", - "properties": { - "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" + "readOnly": true }, "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.", + "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" }, - "behavior": { - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "state": { + "readOnly": true, + "description": "Output only. Current state of the `Document`.", + "type": "string", "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + "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": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ], - "type": "string" - }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." - }, - "description": { - "description": "Required. A brief description of the function.", - "type": "string" - }, - "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" + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ] } - }, - "type": "object" + } }, - "LogprobsResultCandidate": { - "description": "Candidate for the logprobs token and score.", + "File": { "properties": { - "logProbability": { - "type": "number", - "description": "The candidate's log probability.", - "format": "float" + "state": { + "readOnly": true, + "description": "Output only. Processing state of the File.", + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." + ], + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ] }, - "token": { - "description": "The candidate\u2019s token string value.", + "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" }, - "tokenId": { - "type": "integer", - "description": "The candidate\u2019s token id value.", - "format": "int32" - } - }, - "type": "object" - }, - "TransferOwnershipResponse": { - "description": "Response from `TransferOwnership`.", - "properties": {}, - "type": "object" - }, - "ListCachedContentsResponse": { - "description": "Response with CachedContents list.", - "properties": { - "cachedContents": { - "items": { - "$ref": "#/components/schemas/CachedContent" - }, - "description": "List of cached contents.", - "type": "array" + "uri": { + "readOnly": true, + "description": "Output only. The uri of the `File`.", + "type": "string" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "videoMetadata": { + "readOnly": true, + "description": "Output only. Metadata for a video.", + "$ref": "#/components/schemas/VideoFileMetadata" + }, + "name": { + "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", "type": "string" - } - }, - "type": "object" - }, - "ImageConfig": { - "description": "Config for image generation features.", - "properties": { - "aspectRatio": { + }, + "sha256Hash": { + "description": "Output only. SHA-256 hash of the uploaded bytes.", "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." + "readOnly": true, + "format": "byte" }, - "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`.", + "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" - } - }, - "type": "object" - }, - "PromptFeedback": { - "type": "object", - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", - "properties": { - "blockReason": { - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], - "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ], - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt." }, - "safetyRatings": { - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "Ratings for safety of the prompt. There is at most one rating per category." - } - } - }, - "GroundingMetadata": { - "description": "Metadata returned to client when grounding is enabled.", - "properties": { - "groundingSupports": { - "description": "List of grounding support.", - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - }, - "type": "array" + "downloadUri": { + "description": "Output only. The download uri of the `File`.", + "type": "string", + "readOnly": true }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" + "mimeType": { + "readOnly": true, + "description": "Output only. MIME type of the file.", + "type": "string" }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" + "updateTime": { + "readOnly": true, + "description": "Output only. The timestamp of when the `File` was last updated.", + "type": "string", + "format": "google-datetime" }, - "groundingChunks": { - "items": { - "$ref": "#/components/schemas/GroundingChunk" - }, - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "type": "array" + "expirationTime": { + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "type": "string", + "readOnly": true }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", - "type": "string" + "error": { + "readOnly": true, + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status" }, - "webSearchQueries": { - "description": "Web search queries for the following-up web search.", - "items": { - "type": "string" - }, - "type": "array" + "sizeBytes": { + "format": "int64", + "description": "Output only. Size of the file in bytes.", + "type": "string", + "readOnly": true }, - "imageSearchQueries": { - "type": "array", - "items": { - "type": "string" - }, - "description": "Image search queries used for grounding." + "createTime": { + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was created.", + "type": "string", + "readOnly": true } }, + "description": "A file uploaded to the API. Next ID: 15", "type": "object" }, - "ListTunedModelsResponse": { + "TransferOwnershipResponse": { + "properties": {}, + "description": "Response from `TransferOwnership`.", + "type": "object" + }, + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "type": "object", - "description": "Response from `ListTunedModels` containing a paginated list of Models.", "properties": { - "tunedModels": { - "type": "array", - "description": "The returned Models.", - "items": { - "$ref": "#/components/schemas/TunedModel" - } + "timeRangeFilter": { + "$ref": "#/components/schemas/Interval", + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" } } }, - "Candidate": { - "type": "object", - "description": "A response candidate generated from the model.", + "ListCorporaResponse": { "properties": { - "tokenCount": { - "type": "integer", - "readOnly": true, - "description": "Output only. Token count for this candidate.", - "format": "int32" - }, - "logprobsResult": { - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "$ref": "#/components/schemas/LogprobsResult", - "readOnly": true - }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata", - "readOnly": true - }, - "urlContextMetadata": { - "description": "Output only. Metadata related to url context retrieval tool.", - "$ref": "#/components/schemas/UrlContextMetadata", - "readOnly": true + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" }, - "safetyRatings": { + "corpora": { + "description": "The returned corpora.", "type": "array", "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category." - }, - "groundingAttributions": { - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/GroundingAttribution" + "$ref": "#/components/schemas/Corpus" + } + } + }, + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "type": "object" + }, + "Operation": { + "properties": { + "response": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." }, - "type": "array" - }, - "finishMessage": { - "type": "string", - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", - "readOnly": true + "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" }, - "index": { - "type": "integer", - "readOnly": true, - "description": "Output only. Index of the candidate in the list of response candidates.", - "format": "int32" + "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" }, - "avgLogprobs": { - "readOnly": true, - "description": "Output only. Average log probability score of the candidate.", - "format": "double", - "type": "number" + "metadata": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object" }, - "finishReason": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response." - ], - "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE" - ], - "type": "string", + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "type": "string" + }, + "error": { + "$ref": "#/components/schemas/Status", + "description": "The error result of the operation in case of failure or cancellation." + } + }, + "description": "This resource represents a long-running operation that is the result of a network API call.", + "type": "object" + }, + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", + "type": "object", + "properties": { + "promptTokenCount": { + "description": "Output only. Number of tokens in the prompt.", + "type": "integer", "readOnly": true, - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens." + "format": "int32" }, - "content": { - "description": "Output only. Generated content returned from the model.", - "$ref": "#/components/schemas/Content", + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, "readOnly": true - }, - "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.", - "$ref": "#/components/schemas/CitationMetadata" } } }, - "Dataset": { - "description": "Dataset for training or validation.", + "ListPermissionsResponse": { "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "permissions": { + "description": "Returned permissions.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Permission" + } + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } }, + "description": "Response from `ListPermissions` containing a paginated list of permissions.", "type": "object" }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", + "FunctionResponseBlob": { "properties": { - "citationSources": { - "items": { - "$ref": "#/components/schemas/CitationSource" - }, - "description": "Citations to sources for a specific response.", - "type": "array" + "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" + }, + "data": { + "format": "byte", + "description": "Raw bytes for media formats.", + "type": "string" } }, + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "type": "object" }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", + "ThinkingConfig": { "properties": { - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "format": "byte", - "readOnly": true, - "type": "string" - }, - "uri": { + "thinkingLevel": { + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", "type": "string", - "description": "Output only. The uri of the `File`.", - "readOnly": true + "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" + ] }, - "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" + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" }, - "error": { + "thinkingBudget": { + "format": "int32", + "description": "The number of thoughts tokens that the model should generate.", + "type": "integer" + } + }, + "description": "Config for thinking features.", + "type": "object" + }, + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", + "type": "object", + "properties": { + "maxTokensPerChunk": { + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "type": "integer", + "format": "int32" + }, + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer", + "format": "int32" + } + } + }, + "FileSearchStore": { + "properties": { + "createTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "type": "string", "readOnly": true, - "description": "Output only. Error status if File processing failed.", - "$ref": "#/components/schemas/Status" + "format": "google-datetime" }, - "updateTime": { + "sizeBytes": { + "format": "int64", "readOnly": true, - "description": "Output only. The timestamp of when the `File` was last updated.", - "format": "google-datetime", + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", "type": "string" }, - "name": { - "type": "string", - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`" - }, - "expirationTime": { + "failedDocumentsCount": { + "format": "int64", "readOnly": true, - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "format": "google-datetime", + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", "type": "string" }, - "mimeType": { - "description": "Output only. MIME type of the file.", - "readOnly": true, + "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" }, - "sizeBytes": { - "readOnly": true, - "description": "Output only. Size of the file in bytes.", - "format": "int64", + "displayName": { + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", "type": "string" }, - "state": { - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ], - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ], + "activeDocumentsCount": { + "format": "int64", "readOnly": true, - "description": "Output only. Processing state of the File.", + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", "type": "string" }, - "videoMetadata": { + "name": { "readOnly": true, - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata" + "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" }, - "createTime": { - "description": "Output only. The timestamp of when the `File` was created.", + "updateTime": { "format": "google-datetime", - "readOnly": true, - "type": "string" + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "type": "string", + "readOnly": true }, - "downloadUri": { - "description": "Output only. The download uri of the `File`.", - "readOnly": true, + "pendingDocumentsCount": { + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "type": "string", + "readOnly": true + } + }, + "description": "A `FileSearchStore` is a collection of `Document`s.", + "type": "object" + }, + "ListOperationsResponse": { + "properties": { + "nextPageToken": { + "description": "The standard List next-page token.", "type": "string" }, - "source": { - "description": "Source of the File.", + "unreachable": { + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "type": "array", + "items": { + "type": "string" + } + }, + "operations": { + "description": "A list of operations that matches the specified filter in the request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Operation" + } + } + }, + "description": "The response message for Operations.ListOperations.", + "type": "object" + }, + "ComputerUse": { + "properties": { + "environment": { + "description": "Required. The environment being operated.", + "type": "string", "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." + "Defaults to browser.", + "Operates in a web browser." ], "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "type": "string" + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ] + }, + "excludedPredefinedFunctions": { + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "type": "array", + "items": { + "type": "string" + } } }, + "description": "Computer Use tool type.", "type": "object" }, - "CustomLongRunningOperation": { + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", + "type": "object", + "properties": { + "dynamicRetrievalConfig": { + "$ref": "#/components/schemas/DynamicRetrievalConfig", + "description": "Specifies the dynamic retrieval configuration for the given source." + } + } + }, + "SpeakerVoiceConfig": { "properties": { - "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" + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "Required. The configuration for the voice to use." }, - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", "type": "string" - }, - "done": { - "type": "boolean", - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, - "response": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "type": "object" } }, + "description": "The configuration for a single speaker in a multi speaker setup.", "type": "object" }, "UrlContext": { - "description": "Tool to support URL context retrieval.", "properties": {}, + "description": "Tool to support URL context retrieval.", "type": "object" }, - "LatLng": { + "TuningSnapshot": { + "description": "Record for a single tuning step.", "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": { - "type": "number", - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "format": "double" + "computeTime": { + "readOnly": true, + "description": "Output only. The timestamp when this metric was computed.", + "type": "string", + "format": "google-datetime" }, - "longitude": { - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "format": "double", + "meanLoss": { + "format": "float", + "readOnly": true, + "description": "Output only. The mean loss of the training examples for this step.", "type": "number" + }, + "step": { + "format": "int32", + "description": "Output only. The tuning step.", + "type": "integer", + "readOnly": true + }, + "epoch": { + "description": "Output only. The epoch this step was part of.", + "type": "integer", + "readOnly": true, + "format": "int32" } } }, - "ListFilesResponse": { - "type": "object", - "description": "Response for `ListFiles`.", + "TopCandidates": { "properties": { - "files": { + "candidates": { + "description": "Sorted by log probability in descending order.", "type": "array", - "description": "The list of `File`s.", "items": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/LogprobsResultCandidate" } - }, - "nextPageToken": { - "type": "string", - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call." } - } + }, + "description": "Candidates with top log probabilities at each decoding step.", + "type": "object" }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", + "FileSearch": { "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" + "topK": { + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer", + "format": "int32" + }, + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" + }, + "fileSearchStoreNames": { + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "type": "array", + "items": { + "type": "string" + } } }, + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "type": "object" }, - "FunctionCall": { + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "type": "object", - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "properties": { - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "readOnly": true, + "$ref": "#/components/schemas/InlinedEmbedContentResponses" + }, + "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.", + "type": "string", + "readOnly": true + } + } + }, + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", + "type": "object", + "properties": { + "updateTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", "type": "string" }, "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", + "type": "string", + "readOnly": true + }, + "displayName": { + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", "type": "string" }, - "args": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The function parameters and values in JSON object format." + "createTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "type": "string", + "readOnly": true } } }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", + "GoogleAiGenerativelanguageV1betaSegment": { + "description": "Segment of the content.", + "type": "object", "properties": { - "requests": { - "type": "array", - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - } + "endIndex": { + "format": "int32", + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", + "type": "integer" + }, + "startIndex": { + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "type": "integer", + "format": "int32" + }, + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" + }, + "text": { + "description": "The text corresponding to the segment from the response.", + "type": "string" } - }, - "type": "object" + } }, - "InlinedResponses": { - "description": "The responses to the requests in the batch.", + "EmbedContentBatchStats": { + "description": "Stats about the batch.", + "type": "object", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", + "requestCount": { + "format": "int64", "readOnly": true, - "items": { - "$ref": "#/components/schemas/InlinedResponse" - }, - "type": "array" + "description": "Output only. The number of requests in the batch.", + "type": "string" + }, + "failedRequestCount": { + "format": "int64", + "description": "Output only. The number of requests that failed to be processed.", + "type": "string", + "readOnly": true + }, + "successfulRequestCount": { + "readOnly": true, + "description": "Output only. The number of requests that were successfully processed.", + "type": "string", + "format": "int64" + }, + "pendingRequestCount": { + "format": "int64", + "description": "Output only. The number of requests that are still pending processing.", + "type": "string", + "readOnly": true } - }, - "type": "object" + } }, - "VideoFileMetadata": { - "description": "Metadata for a video `File`.", + "LatLng": { + "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", + "type": "object", "properties": { - "videoDuration": { - "description": "Duration of the video.", - "format": "google-duration", + "latitude": { + "format": "double", + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "type": "number" + }, + "longitude": { + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number", + "format": "double" + } + } + }, + "SafetyRating": { + "properties": { + "probability": { + "description": "Required. The probability of harm for this content.", + "type": "string", + "x-enum-descriptions": [ + "Probability is unspecified.", + "Content has a negligible chance of being unsafe.", + "Content has a low chance of being unsafe.", + "Content has a medium chance of being unsafe.", + "Content has a high chance of being unsafe." + ], + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ] + }, + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" + }, + "category": { + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "description": "Required. The category for this rating.", "type": "string" } }, + "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" }, - "Interval": { + "Web": { + "description": "Chunk from the web.", "type": "object", - "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", "properties": { - "startTime": { - "type": "string", - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", - "format": "google-datetime" - }, - "endTime": { - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", - "format": "google-datetime", + "title": { + "readOnly": true, + "description": "Output only. Title of the chunk.", "type": "string" - } - } - }, - "TransferOwnershipRequest": { - "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.", + }, + "uri": { + "readOnly": true, + "description": "Output only. URI reference of the chunk.", "type": "string" } } }, - "TunedModel": { + "Model": { + "description": "Information about a Generative Language Model.", "type": "object", - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "properties": { - "name": { - "type": "string", - "readOnly": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`" - }, "topP": { - "type": "number", - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", - "format": "float" + "format": "float", + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", + "type": "number" }, - "temperature": { - "type": "number", - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "format": "float" + "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" }, - "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." + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" }, - "description": { - "type": "string", - "description": "Optional. A short description of this model." + "maxTemperature": { + "format": "float", + "description": "The maximum temperature this model can use.", + "type": "number" }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "outputTokenLimit": { + "format": "int32", + "description": "Maximum number of output tokens available for this model.", + "type": "integer" }, - "updateTime": { - "type": "string", - "description": "Output only. The timestamp when this model was updated.", - "format": "google-datetime", - "readOnly": true + "supportedGenerationMethods": { + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "type": "array", + "items": { + "type": "string" + } }, - "state": { - "type": "string", - "readOnly": true, - "description": "Output only. The state of the tuned model.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ] + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "type": "string" }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "inputTokenLimit": { + "description": "Maximum number of input tokens allowed for this model.", + "type": "integer", + "format": "int32" + }, + "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" }, - "createTime": { - "readOnly": true, - "description": "Output only. The timestamp when this model was created.", - "format": "google-datetime", + "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" }, - "readerProjectNumbers": { - "type": "array", - "description": "Optional. List of project numbers that have read access to the tuned model.", - "items": { - "type": "string", - "format": "int64" - } + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" + "description": { + "description": "A short description of the model.", + "type": "string" }, - "topK": { - "type": "integer", - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "format": "int32" + "temperature": { + "format": "float", + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", + "type": "number" } } }, - "ComputerUse": { - "description": "Computer Use tool type.", + "FunctionCallingConfig": { "properties": { - "environment": { - "type": "string", + "allowedFunctionNames": { + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "type": "array", + "items": { + "type": "string" + } + }, + "mode": { "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." ], "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" ], - "description": "Required. The environment being operated." - }, - "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" + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", + "type": "string" } }, + "description": "Configuration for specifying function calling behavior.", "type": "object" }, - "ListModelsResponse": { - "type": "object", - "description": "Response from `ListModel` containing a paginated list of Models.", + "InlinedRequest": { "properties": { - "models": { - "type": "array", - "description": "The returned Models.", - "items": { - "$ref": "#/components/schemas/Model" - } + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request.", + "type": "object" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" } - } + }, + "description": "The request to be processed in the batch.", + "type": "object" }, - "CountTokensResponse": { - "type": "object", - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "SpeechConfig": { "properties": { - "cacheTokensDetails": { - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the cached content." + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "type": "string" }, - "totalTokens": { - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "format": "int32", - "type": "integer" + "multiSpeakerVoiceConfig": { + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig", + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field." + }, + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "The configuration in case of single-voice output." + } + }, + "description": "Config for speech generation and transcription.", + "type": "object" + }, + "LogprobsResult": { + "properties": { + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "type": "number", + "format": "float" }, - "cachedContentTokenCount": { - "type": "integer", - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "format": "int32" + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } }, - "promptTokensDetails": { + "topCandidates": { + "description": "Length = total number of decoding steps.", "type": "array", - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/TopCandidates" } } - } + }, + "description": "Logprobs Result", + "type": "object" }, - "InlinedEmbedContentResponse": { + "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": "The response to a single request in the batch.", "properties": { - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", - "readOnly": true - }, - "response": { - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/EmbedContentResponse", - "readOnly": true - }, - "metadata": { - "type": "object", - "description": "Output only. The metadata associated with the request.", - "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." + "reviewSnippets": { + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "type": "array", + "items": { + "$ref": "#/components/schemas/ReviewSnippet" } } } }, - "Part": { + "BatchStats": { + "description": "Stats about the batch.", "type": "object", - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "properties": { - "functionResponse": { - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", - "$ref": "#/components/schemas/FunctionResponse" - }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" - }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" + "successfulRequestCount": { + "format": "int64", + "description": "Output only. The number of requests that were successfully processed.", + "type": "string", + "readOnly": true }, - "text": { - "description": "Inline text.", + "pendingRequestCount": { + "format": "int64", + "readOnly": true, + "description": "Output only. The number of requests that are still pending processing.", "type": "string" }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" - }, - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" - }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" - }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" - }, - "thought": { - "type": "boolean", - "description": "Optional. Indicates if the part is thought from the model." - }, - "thoughtSignature": { + "failedRequestCount": { + "format": "int64", + "description": "Output only. The number of requests that failed to be processed.", "type": "string", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "format": "byte" - }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" - }, - "toolCall": { - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", - "$ref": "#/components/schemas/ToolCall" - }, - "partMetadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "type": "object" + "readOnly": true }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "requestCount": { + "format": "int64", + "readOnly": true, + "description": "Output only. The number of requests in the batch.", + "type": "string" } } }, - "RetrievalConfig": { - "description": "Retrieval config.", + "GenerateContentBatchOutput": { "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "readOnly": true, + "$ref": "#/components/schemas/InlinedResponses" }, - "languageCode": { + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "type": "string", - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." + "readOnly": true } }, + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "type": "object" }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", + "UploadToFileSearchStoreRequest": { "properties": { - "speakerVoiceConfigs": { + "customMetadata": { + "description": "Custom metadata to be associated with the data.", "type": "array", - "description": "Required. All the enabled speaker voices.", "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" + "$ref": "#/components/schemas/CustomMetadata" } + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "type": "string" + }, + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" } }, + "description": "Request for `UploadToFileSearchStore`.", "type": "object" }, - "ListDocumentsResponse": { + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "description": "Grounding support.", "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": { + "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": { - "$ref": "#/components/schemas/Document" - }, - "description": "The returned `Document`s.", - "type": "array" + "type": "number", + "format": "float" + } }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "segment": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment", + "description": "Segment of the content this support belongs to." + }, + "groundingChunkIndices": { + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "type": "array", + "items": { + "type": "integer", + "format": "int32" + } + }, + "renderedParts": { + "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", + "type": "array", + "items": { + "type": "integer", + "format": "int32" + }, + "readOnly": true } } }, - "GroundingChunk": { - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "type": "object", "properties": { - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" + "retrievalConfig": { + "$ref": "#/components/schemas/RetrievalConfig", + "description": "Optional. Retrieval config." }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" + } + } + }, + "TunedModelSource": { + "description": "Tuned model as a source for training a new model.", + "type": "object", + "properties": { + "baseModel": { + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + "type": "string", + "readOnly": true }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" + "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" + } + } + }, + "GroundingChunkStringList": { + "properties": { + "values": { + "description": "The string values of the list.", + "type": "array", + "items": { + "type": "string" + } } }, + "description": "A list of string values.", "type": "object" }, - "ToolResponse": { - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", + "type": "object", "properties": { - "toolType": { - "type": "string", + "modality": { "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." + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." ], "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" ], - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`." + "description": "The modality associated with this token count.", + "type": "string" }, - "response": { - "description": "Optional. The tool response.", + "tokenCount": { + "format": "int32", + "description": "Number of tokens.", + "type": "integer" + } + } + }, + "InlinedEmbedContentRequest": { + "properties": { + "metadata": { "additionalProperties": { "description": "Properties of the object." }, + "description": "Optional. The metadata to be associated with the request.", "type": "object" }, - "id": { - "type": "string", - "description": "Optional. The identifier of the tool call this response is for." + "request": { + "$ref": "#/components/schemas/EmbedContentRequest", + "description": "Required. The request to be processed in the batch." } }, + "description": "The request to be processed in the batch.", "type": "object" }, - "Model": { + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "type": "object", - "description": "Information about a Generative Language Model.", "properties": { - "maxTemperature": { - "type": "number", - "description": "The maximum temperature this model can use.", - "format": "float" - }, - "topK": { - "type": "integer", - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", - "format": "int32" - }, - "outputTokenLimit": { - "type": "integer", - "description": "Maximum number of output tokens available for this model.", - "format": "int32" - }, - "version": { + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", "type": "string", - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)" + "readOnly": true }, - "supportedGenerationMethods": { - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "chunk": { + "readOnly": true, + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "type": "string" + } + } + }, + "ListFilesResponse": { + "description": "Response for `ListFiles`.", + "type": "object", + "properties": { + "files": { + "description": "The list of `File`s.", + "type": "array", "items": { - "type": "string" - }, - "type": "array" + "$ref": "#/components/schemas/File" + } }, - "description": { - "description": "A short description of the model.", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "type": "string" + } + } + }, + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "type": "object", + "properties": { + "title": { + "description": "Title of the place.", "type": "string" }, - "displayName": { - "type": "string", - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters." - }, - "temperature": { - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", - "format": "float", - "type": "number" - }, - "thinking": { - "type": "boolean", - "description": "Whether the model supports thinking." - }, - "inputTokenLimit": { - "description": "Maximum number of input tokens allowed for this model.", - "format": "int32", - "type": "integer" + "text": { + "description": "Text description of the place answer.", + "type": "string" }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "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" }, - "topP": { - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "format": "float", - "type": "number" + "uri": { + "description": "URI reference of the place.", + "type": "string" }, - "name": { - "type": "string", - "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`" + "placeAnswerSources": { + "$ref": "#/components/schemas/PlaceAnswerSources", + "description": "Sources that provide answers about the features of a given place in Google Maps." } } }, - "InlinedResponse": { - "description": "The response to a single request in the batch.", + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", + "type": "object", "properties": { - "metadata": { - "type": "object", - "description": "Output only. The metadata associated with the request.", - "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." + "batch": { + "$ref": "#/components/schemas/EmbedContentBatch", + "description": "Required. The batch to create." + } + } + }, + "TuningExamples": { + "properties": { + "examples": { + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TuningExample" } - }, - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", - "readOnly": true - }, - "response": { - "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse" } }, + "description": "A set of tuning examples. Can be training or validation data.", "type": "object" }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "VoiceConfig": { + "description": "The configuration for the voice to use.", + "type": "object", "properties": { - "uris": { - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "prebuiltVoiceConfig": { + "$ref": "#/components/schemas/PrebuiltVoiceConfig", + "description": "The configuration for the prebuilt voice to use." + } + } + }, + "GroundingMetadata": { + "properties": { + "groundingChunks": { + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunk" + } + }, + "googleMapsWidgetContextToken": { + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "type": "string" + }, + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" + }, + "groundingSupports": { + "description": "List of grounding support.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + } + }, + "webSearchQueries": { + "description": "Web search queries for the following-up web search.", + "type": "array", "items": { "type": "string" - }, - "type": "array" + } + }, + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "type": "array", + "items": { + "type": "string" + } } }, + "description": "Metadata returned to client when grounding is enabled.", "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", + "CachedContentUsageMetadata": { "properties": { - "name": { - "description": "The name of the MCPServer.", - "type": "string" - }, - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "totalTokenCount": { + "format": "int32", + "description": "Total number of tokens that the cached content consumes.", + "type": "integer" } }, + "description": "Metadata on the usage of the cached content.", "type": "object" }, - "TuningExamples": { + "SearchEntryPoint": { + "description": "Google search entry point.", "type": "object", - "description": "A set of tuning examples. Can be training or validation data.", "properties": { - "examples": { + "sdkBlob": { + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "type": "string" + }, + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "type": "string" + } + } + }, + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "type": "object", + "properties": { + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "type": "string" + }, + "customMetadata": { + "description": "Custom metadata to be associated with the file.", "type": "array", "items": { - "$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." + "$ref": "#/components/schemas/CustomMetadata" + } + }, + "chunkingConfig": { + "$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." } } }, - "SpeechConfig": { + "FileData": { + "properties": { + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" + }, + "fileUri": { + "description": "Required. URI.", + "type": "string" + } + }, + "description": "URI based data.", + "type": "object" + }, + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", "type": "object", - "description": "Config for speech generation and transcription.", "properties": { - "languageCode": { - "type": "string", - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`." - }, - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" - }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", + "type": "array", + "items": { + "$ref": "#/components/schemas/EmbedContentRequest" + } } } }, - "RetrievalMetadata": { - "type": "object", - "description": "Metadata related to retrieval in the grounding flow.", + "GroundingAttribution": { "properties": { - "googleSearchDynamicRetrievalScore": { - "type": "number", - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "format": "float" + "sourceId": { + "$ref": "#/components/schemas/AttributionSourceId", + "readOnly": true, + "description": "Output only. Identifier for the source contributing to this attribution." + }, + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" } - } + }, + "description": "Attribution for a source that contributed to an answer.", + "type": "object" }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "BatchGenerateContentRequest": { "properties": { - "values": { - "type": "array", - "items": { - "type": "string" - }, - "description": "The string values of the list." + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } }, + "description": "Request for a `BatchGenerateContent` operation.", "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.", + "Image": { "properties": { - "message": { - "type": "string", - "description": "A message explaining the model status." + "title": { + "description": "The title of the web page that the image is from.", + "type": "string" }, - "retirementTime": { - "description": "The time at which the model will be retired.", - "format": "google-datetime", + "sourceUri": { + "description": "The web page URI for attribution.", "type": "string" }, - "modelStage": { - "type": "string", - "description": "The stage of the underlying model.", - "x-enum-descriptions": [ - "Unspecified model stage.", - "The underlying model is subject to lots of tunings.", - "Models in this stage are for experimental purposes only.", - "Models in this stage are more mature than experimental models.", - "Models in this stage are considered stable and ready for production use.", - "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", - "Models in this stage are deprecated. These models cannot be used.", - "Models in this stage are retired. These models cannot be used." - ], - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ] - } - } - }, - "GoogleMaps": { - "type": "object", - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", - "properties": { - "enableWidget": { - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", - "type": "boolean" + "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" } - } + }, + "description": "Chunk from image search.", + "type": "object" }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", + "ContentEmbedding": { "properties": { - "urlMetadata": { + "values": { + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "type": "array", - "description": "List of url context.", "items": { - "$ref": "#/components/schemas/UrlMetadata" + "type": "number", + "format": "float" + } + }, + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "type": "array", + "items": { + "type": "integer", + "format": "int32" } } }, + "description": "A list of floats representing an embedding.", "type": "object" }, - "FunctionCallingConfig": { + "InlinedResponses": { + "description": "The responses to the requests in the batch.", "type": "object", - "description": "Configuration for specifying function calling behavior.", "properties": { - "mode": { - "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ], - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ], - "type": "string", - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO." - }, - "allowedFunctionNames": { - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "inlinedResponses": { + "readOnly": true, + "description": "Output only. The responses to the requests in the batch.", + "type": "array", "items": { - "type": "string" - }, - "type": "array" + "$ref": "#/components/schemas/InlinedResponse" + } } } }, - "AsyncBatchEmbedContentRequest": { + "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.", "type": "object", - "description": "Request for an `AsyncBatchEmbedContent` operation.", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "properties": { - "learningRateMultiplier": { - "type": "number", - "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", - "format": "float" + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + } }, - "learningRate": { - "type": "number", - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "format": "float" + "createTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. Creation time of the cache entry.", + "type": "string" }, - "epochCount": { - "type": "integer", - "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" + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" }, - "batchSize": { - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", - "format": "int32", - "type": "integer" - } - }, - "type": "object" - }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", - "properties": { - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "updateTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. When the cache entry was last updated in UTC time.", "type": "string" }, - "baseModel": { - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + "expireTime": { + "format": "google-datetime", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", + "type": "string" + }, + "name": { "readOnly": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "type": "string" + }, + "toolConfig": { + "$ref": "#/components/schemas/ToolConfig", + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools." + }, + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "type": "string" + }, + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", "type": "string" + }, + "usageMetadata": { + "readOnly": true, + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata" + }, + "ttl": { + "description": "Input only. New TTL for this resource, input only.", + "type": "string", + "format": "google-duration" + }, + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } } - }, - "type": "object" + } } } }