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 cce91ba31..0040d3c34 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -397,14 +397,11 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// - /// - /// Configures the input to the batch request. - /// /// /// Required. The user-defined name of this batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configures the input to the batch request. /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. @@ -412,6 +409,9 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// Stats about the batch. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// @@ -421,22 +421,22 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? displayName = default, - string? model = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? model = default, string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - InputConfig = inputConfig, DisplayName = displayName, - Model = model, + InputConfig = inputConfig, Output = output, BatchStats = batchStats, + Model = model, Priority = priority, }; 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 475c3b2f6..87139a742 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -397,23 +397,23 @@ 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}`. - /// /// /// Configures the input to the batch request. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Stats about the batch. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -421,23 +421,23 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? priority = default, - global::Google.Gemini.BatchStats? batchStats = default, + string? displayName = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, - string? model = default, global::Google.Gemini.InputConfig? inputConfig = default, - string? displayName = default, + global::Google.Gemini.BatchStats? batchStats = default, + string? model = default, + string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - Priority = priority, - BatchStats = batchStats, + DisplayName = displayName, Output = output, - Model = model, InputConfig = inputConfig, - DisplayName = displayName, + BatchStats = batchStats, + Model = model, + Priority = priority, }; 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 2ff1e6b89..1792b202e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs @@ -380,26 +380,20 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// 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. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The content to cache. @@ -407,33 +401,39 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Input only. New TTL for this resource, input only. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( - global::System.Collections.Generic.IList? tools = default, - string? displayName = default, - string? expireTime = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? displayName = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? expireTime = default, global::System.Collections.Generic.IList? contents = default, string? ttl = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - Tools = tools, - DisplayName = displayName, - ExpireTime = expireTime, - ToolConfig = toolConfig, - Model = model, UsageMetadata = usageMetadata, + DisplayName = displayName, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, + ExpireTime = expireTime, Contents = contents, Ttl = ttl, + Model = model, + Tools = tools, }; return await CachedContentsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs index 4b27719ca..c06d11bb9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs @@ -397,26 +397,20 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// 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. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The content to cache. @@ -424,35 +418,41 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// Input only. New TTL for this resource, input only. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - global::System.Collections.Generic.IList? tools = default, - string? displayName = default, - string? expireTime = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? displayName = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? expireTime = default, global::System.Collections.Generic.IList? contents = default, string? ttl = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - Tools = tools, - DisplayName = displayName, - ExpireTime = expireTime, - ToolConfig = toolConfig, - Model = model, UsageMetadata = usageMetadata, + DisplayName = displayName, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, + ExpireTime = expireTime, Contents = contents, Ttl = ttl, + Model = model, + Tools = tools, }; return await CachedContentsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs index bef983a87..c39125421 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs @@ -390,28 +390,28 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// 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, 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, }; 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 cf1d16292..3b122d4dc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs @@ -407,12 +407,12 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -421,16 +421,16 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string corporaId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { EmailAddress = emailAddress, - GranteeType = granteeType, Role = role, + GranteeType = granteeType, }; 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 3e2b9a20c..924f0d9f0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -387,33 +387,33 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -422,30 +422,30 @@ partial void ProcessDynamicGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + Tools = tools, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, GenerationConfig = generationConfig, ServiceTier = serviceTier, - Tools = tools, + SafetySettings = safetySettings, CachedContent = cachedContent, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, Store = store, }; 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 11e2bdd76..4a53eb7d0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -387,33 +387,33 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -422,30 +422,30 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + Tools = tools, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, GenerationConfig = generationConfig, ServiceTier = serviceTier, - Tools = tools, + SafetySettings = safetySettings, CachedContent = cachedContent, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, Store = store, }; 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 50c2dd755..af75dcc2f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -360,33 +360,33 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -395,30 +395,30 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + Tools = tools, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, GenerationConfig = generationConfig, ServiceTier = serviceTier, - Tools = tools, + SafetySettings = safetySettings, CachedContent = cachedContent, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, Store = store, }; 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 bfe4ff623..793995300 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -387,31 +387,31 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// /// Custom metadata to be associated with the file. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - 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 { - ChunkingConfig = chunkingConfig, - CustomMetadata = customMetadata, FileName = fileName, + CustomMetadata = customMetadata, + ChunkingConfig = chunkingConfig, }; return await FileSearchStoresImportFileAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs index 13706064d..293eab140 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs @@ -387,26 +387,26 @@ partial void ProcessModelsCountTokensResponseContent( /// 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. /// /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. /// + /// + /// Request to generate a completion from 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 ModelsCountTokensAsync( string modelsId, - global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CountTokensRequest { - GenerateContentRequest = generateContentRequest, Contents = contents, + GenerateContentRequest = generateContentRequest, }; return await ModelsCountTokensAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs index b831ed90b..f34c92293 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs @@ -389,31 +389,31 @@ partial void ProcessModelsEmbedContentResponseContent( /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Configurations for the EmbedContent request. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, + string? model = default, global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, - string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { + Model = model, Content = content, EmbedContentConfig = embedContentConfig, - Model = model, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index 74e9f8838..5a755b7d1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -387,33 +387,33 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -422,30 +422,30 @@ partial void ProcessModelsGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + Tools = tools, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, GenerationConfig = generationConfig, ServiceTier = serviceTier, - Tools = tools, + SafetySettings = safetySettings, CachedContent = cachedContent, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, Store = store, }; 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 3eb286f87..80c0969b7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -387,33 +387,33 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -422,30 +422,30 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + Tools = tools, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, GenerationConfig = generationConfig, ServiceTier = serviceTier, - Tools = tools, + SafetySettings = safetySettings, CachedContent = cachedContent, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, Store = store, }; 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 7a0200db7..7c6d0fb30 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -360,33 +360,33 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -395,30 +395,30 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + Tools = tools, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, GenerationConfig = generationConfig, ServiceTier = serviceTier, - Tools = tools, + SafetySettings = safetySettings, CachedContent = cachedContent, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, Store = store, }; 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 f91dd3c08..ef9801d4a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs @@ -390,14 +390,23 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// + /// + /// Optional. A short description of this model. + /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. @@ -405,46 +414,37 @@ partial void ProcessTunedModelsCreateResponseContent( /// /// Tuning tasks that create tuned models. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, + string? description = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? baseModel = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, float? temperature = default, string? displayName = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, float? topP = default, - string? description = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, + string? baseModel = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { + Description = description, TunedModelSource = tunedModelSource, - ReaderProjectNumbers = readerProjectNumbers, - BaseModel = baseModel, - TopK = topK, - TuningTask = tuningTask, Temperature = temperature, DisplayName = displayName, + ReaderProjectNumbers = readerProjectNumbers, TopP = topP, - Description = description, + TopK = topK, + TuningTask = tuningTask, + BaseModel = baseModel, }; 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 2dbe419c1..b8867718f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -387,33 +387,33 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -422,30 +422,30 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + Tools = tools, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, GenerationConfig = generationConfig, ServiceTier = serviceTier, - Tools = tools, + SafetySettings = safetySettings, CachedContent = cachedContent, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, Store = store, }; 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 e6670e2a0..29ce5eb94 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs @@ -397,14 +397,23 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// + /// + /// Optional. A short description of this model. + /// /// /// Tuned model as a source for training a new 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. List of project numbers that have read access to the tuned model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. @@ -412,17 +421,8 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// Tuning tasks that create tuned models. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -430,29 +430,29 @@ partial void ProcessTunedModelsPatchResponseContent( public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, + string? description = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? baseModel = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, float? temperature = default, string? displayName = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, float? topP = default, - string? description = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, + string? baseModel = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { + Description = description, TunedModelSource = tunedModelSource, - ReaderProjectNumbers = readerProjectNumbers, - BaseModel = baseModel, - TopK = topK, - TuningTask = tuningTask, Temperature = temperature, DisplayName = displayName, + ReaderProjectNumbers = readerProjectNumbers, TopP = topP, - Description = description, + TopK = topK, + TuningTask = tuningTask, + BaseModel = baseModel, }; 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 254ca9d7a..cf4e94768 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs @@ -390,28 +390,28 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// 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, 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, }; 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 b61b9eeac..190a30554 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs @@ -407,12 +407,12 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -421,16 +421,16 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string permissionsId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { EmailAddress = emailAddress, - GranteeType = granteeType, Role = role, + GranteeType = granteeType, }; 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 c723e8272..edbad12ac 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -387,33 +387,33 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -422,30 +422,30 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + Tools = tools, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, GenerationConfig = generationConfig, ServiceTier = serviceTier, - Tools = tools, + SafetySettings = safetySettings, CachedContent = cachedContent, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, Store = store, }; 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 e3f852f34..471698d31 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -360,33 +360,33 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -395,30 +395,30 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + Tools = tools, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - SafetySettings = safetySettings, - ToolConfig = toolConfig, GenerationConfig = generationConfig, ServiceTier = serviceTier, - Tools = tools, + SafetySettings = safetySettings, CachedContent = cachedContent, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, Store = store, }; 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 45861cb28..bac7fed1f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -25,14 +25,11 @@ public partial interface IGeminiClient /// /// /// - /// - /// Configures the input to the batch request. - /// /// /// Required. The user-defined name of this batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configures the input to the batch request. /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. @@ -40,6 +37,9 @@ public partial interface IGeminiClient /// /// Stats about the batch. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// @@ -49,11 +49,11 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? displayName = default, - string? model = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? model = default, string? priority = 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 175fd3c48..4c7c5ccbd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -25,23 +25,23 @@ 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}`. - /// /// /// Configures the input to the batch request. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Stats about the batch. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -49,12 +49,12 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? priority = default, - global::Google.Gemini.BatchStats? batchStats = default, + string? displayName = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, - string? model = default, global::Google.Gemini.InputConfig? inputConfig = default, - string? displayName = default, + global::Google.Gemini.BatchStats? batchStats = default, + string? model = default, + string? priority = 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 c352846c3..52e78ddea 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs @@ -19,26 +19,20 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// 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. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The content to cache. @@ -46,19 +40,25 @@ public partial interface IGeminiClient /// /// Input only. New TTL for this resource, input only. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( - global::System.Collections.Generic.IList? tools = default, - string? displayName = default, - string? expireTime = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? displayName = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? expireTime = default, global::System.Collections.Generic.IList? contents = default, string? ttl = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs index e33c46cb2..c17bdb7ef 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs @@ -25,26 +25,20 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// 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. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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. The content to cache. @@ -52,21 +46,27 @@ public partial interface IGeminiClient /// /// Input only. New TTL for this resource, input only. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - global::System.Collections.Generic.IList? tools = default, - string? displayName = default, - string? expireTime = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? displayName = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + string? expireTime = default, global::System.Collections.Generic.IList? contents = default, string? ttl = default, + string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index 1bcb45aab..0edd5e102 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs @@ -25,20 +25,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// 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, 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 5c1f72edc..0d5f13e2f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs @@ -31,12 +31,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -45,8 +45,8 @@ public partial interface IGeminiClient string corporaId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs index c101765fc..feb347601 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs index 0eea8a4e1..840e57653 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 988085811..2bdda2898 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 @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index e142b148a..30e4cb8e7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -22,23 +22,23 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// /// Custom metadata to be associated with the file. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - global::Google.Gemini.ChunkingConfig? chunkingConfig = default, - 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.ModelsCountTokens.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs index 5fd7ed156..3de073d14 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs @@ -22,19 +22,19 @@ public partial interface IGeminiClient /// 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. /// /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. /// + /// + /// Request to generate a completion from 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 ModelsCountTokensAsync( string modelsId, - global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.GenerateContentRequest? generateContentRequest = 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 a329c35cc..a15a2629a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs @@ -24,23 +24,23 @@ public partial interface IGeminiClient /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Configurations for the EmbedContent request. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, + string? model = default, global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, - string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index f1f18a2ff..517ba3c03 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs index 633095fde..a1df91f04 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs index 140d2c35c..80c7465d2 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 @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs index 294679b7d..da98691a4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs @@ -22,14 +22,23 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// + /// + /// Optional. A short description of this model. + /// /// /// Tuned model as a source for training a new model. /// + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. @@ -37,32 +46,23 @@ public partial interface IGeminiClient /// /// Tuning tasks that create tuned models. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, + string? description = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? baseModel = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, float? temperature = default, string? displayName = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, float? topP = default, - string? description = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, + string? baseModel = 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 857c1d847..0cfaec7b6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs index 092cfdc02..f89491870 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -25,14 +25,23 @@ public partial interface IGeminiClient /// /// /// + /// + /// Optional. A short description of this model. + /// /// /// Tuned model as a source for training a new 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. List of project numbers that have read access to the tuned model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. @@ -40,17 +49,8 @@ public partial interface IGeminiClient /// /// Tuning tasks that create tuned models. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. A short description of this model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, + string? description = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? baseModel = default, - int? topK = default, - global::Google.Gemini.TuningTask? tuningTask = default, float? temperature = default, string? displayName = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, float? topP = default, - string? description = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, + string? baseModel = 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 d7c71c9f5..837f32b19 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs @@ -25,20 +25,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// 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, 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 d7b4e42d9..4404bb731 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs @@ -31,12 +31,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The type of the grantee. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -45,8 +45,8 @@ public partial interface IGeminiClient string permissionsId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.PermissionRole? role = default, + global::Google.Gemini.PermissionGranteeType? granteeType = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs index a3af4bdd8..c9a864ac0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index 62e8ea646..ec349a450 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 @@ -22,33 +22,33 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -57,15 +57,15 @@ public partial interface IGeminiClient /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, + global::System.Collections.Generic.IList? tools = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? tools = default, + global::System.Collections.Generic.IList? safetySettings = default, string? cachedContent = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs index 55557f6ef..70f267497 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,33 +13,21 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), @@ -49,389 +37,401 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - - 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.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - 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.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.UnixTimestampJsonConverter), })] 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingAttribution))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRating))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResult))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkCustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFile))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponsePart))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseScheduling), TypeInfoPropertyName = "FunctionResponseScheduling2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] + [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.LogprobsResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponses))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfigTaskType), TypeInfoPropertyName = "EmbedContentConfigTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SemanticRetrieverChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearchRetrieval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchState), TypeInfoPropertyName = "EmbedContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchTypes))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFile))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkCustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SemanticRetrieverChunk))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUseEnvironment), TypeInfoPropertyName = "ComputerUseEnvironment2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LatLng))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponsePart))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [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.ListModelsResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfigMode), TypeInfoPropertyName = 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationSource))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] + 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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.CountTokensRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFileSearchStoresResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRating))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingProbability), TypeInfoPropertyName = "SafetyRatingProbability2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [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 b10e02a7e..11d094105 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,827 +28,827 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.Schema? Type0 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type0 { get; set; } /// /// /// - public string? Type1 { get; set; } + public global::System.Collections.Generic.IList? Type1 { get; set; } /// /// /// - public object? Type2 { get; set; } + public int? Type2 { get; set; } /// /// /// - public bool? Type3 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type3 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type4 { get; set; } + public global::System.Collections.Generic.IList? Type4 { get; set; } /// /// /// - public double? Type5 { get; set; } + public float? Type5 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type6 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type6 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type7 { get; set; } + public global::System.Collections.Generic.IList? Type7 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type8 { get; set; } + public string? Type8 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type9 { get; set; } + public global::Google.Gemini.Image? Type9 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type10 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type10 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type11 { get; set; } + public global::System.Collections.Generic.IList? Type11 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type12 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type12 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type13 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type13 { get; set; } /// /// /// - public int? Type14 { get; set; } + public global::System.Collections.Generic.IList? Type14 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type15 { get; set; } + public global::Google.Gemini.File? Type15 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type16 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type16 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type17 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type17 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type18 { get; set; } + public global::Google.Gemini.Content? Type18 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type19 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type19 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type20 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type20 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type21 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type21 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type22 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type22 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type23 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type23 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type24 { get; set; } + public global::Google.Gemini.LogprobsResult? Type24 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type25 { get; set; } + public global::System.Collections.Generic.IList? Type25 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type26 { get; set; } + public global::Google.Gemini.TopCandidates? Type26 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type27 { get; set; } + public global::System.Collections.Generic.IList? Type27 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type28 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type28 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type29 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type29 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type30 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type30 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type31 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type31 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type32 { get; set; } + public global::System.Collections.Generic.IList? Type32 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type33 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type33 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type34 { get; set; } + public global::Google.Gemini.VideoMetadata? Type34 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type35 { get; set; } + public double? Type35 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type36 { get; set; } + public global::Google.Gemini.ToolConfig? Type36 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type37 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type37 { get; set; } /// /// /// - public global::Google.Gemini.File? Type38 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type38 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type39 { get; set; } + public bool? Type39 { get; set; } /// /// /// - public float? Type40 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type40 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type41 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type41 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type42 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type42 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type43 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type43 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type44 { get; set; } + public global::Google.Gemini.ModelStatus? Type44 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type45 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type45 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type46 { get; set; } + public global::Google.Gemini.FunctionCall? Type46 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type47 { get; set; } + public object? Type47 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type48 { get; set; } + public global::Google.Gemini.ImageConfig? Type48 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type49 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type49 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type50 { get; set; } + public global::System.Collections.Generic.IList? Type50 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type51 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type51 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type52 { get; set; } + public global::Google.Gemini.GenerationConfig? Type52 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type53 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type53 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type54 { get; set; } + public global::System.Collections.Generic.IList? Type54 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type55 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type55 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type56 { get; set; } + public global::Google.Gemini.Schema? Type56 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type57 { get; set; } + public global::Google.Gemini.SpeechConfig? Type57 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type58 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type58 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type59 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type59 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type60 { get; set; } + public global::System.Collections.Generic.IList? Type60 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type61 { get; set; } + public global::Google.Gemini.GeneratedFile? Type61 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type62 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type62 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type63 { get; set; } + public global::Google.Gemini.Operation? Type63 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type64 { get; set; } + public global::Google.Gemini.Status? Type64 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type65 { get; set; } + public global::Google.Gemini.RetrievedContext? Type65 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type66 { get; set; } + public global::System.Collections.Generic.IList? Type66 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type67 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type67 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type68 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type68 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type69 { get; set; } + public global::System.Collections.Generic.IList? Type69 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type70 { get; set; } + public global::Google.Gemini.CustomMetadata? Type70 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type71 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type71 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type72 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type72 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type73 { get; set; } + public byte[]? Type73 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type74 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type74 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type75 { get; set; } + public global::Google.Gemini.FileSource? Type75 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type76 { get; set; } + public global::Google.Gemini.FileState? Type76 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type77 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type77 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type78 { get; set; } + public global::Google.Gemini.ComputerUse? Type78 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type79 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type79 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type80 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type80 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type81 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type81 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type82 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type82 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type83 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type83 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type84 { get; set; } + public global::Google.Gemini.VoiceConfig? Type84 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type85 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type85 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type86 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type86 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type87 { get; set; } + public global::Google.Gemini.ToolCall? Type87 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type88 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type88 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type89 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type89 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type90 { get; set; } + public global::System.Collections.Generic.IList? Type90 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type91 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type91 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type92 { get; set; } + public global::System.Collections.Generic.IList? Type92 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type93 { get; set; } + public global::Google.Gemini.GroundingChunk? Type93 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type94 { get; set; } + public global::Google.Gemini.StringList? Type94 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type95 { get; set; } + public global::Google.Gemini.FileData? Type95 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type96 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type96 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type97 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type97 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type98 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type98 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type99 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type99 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type100 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type100 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type101 { get; set; } + public global::System.Collections.Generic.IList? Type101 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type102 { get; set; } + public global::Google.Gemini.Model? Type102 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type103 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type103 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type104 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type104 { get; set; } /// /// /// - public byte[]? Type105 { get; set; } + public global::Google.Gemini.SafetySetting? Type105 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type106 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type106 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type107 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type107 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type108 { get; set; } + public global::Google.Gemini.TuningExamples? Type108 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type109 { get; set; } + public global::System.Collections.Generic.IList? Type109 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type110 { get; set; } + public global::Google.Gemini.TuningExample? Type110 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type111 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type111 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type112 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type112 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type113 { get; set; } + public global::Google.Gemini.UrlMetadata? Type113 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type114 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type114 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type115 { get; set; } + public global::Google.Gemini.ImageSearch? Type115 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type116 { get; set; } + public global::Google.Gemini.BatchStats? Type116 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type117 { get; set; } + public global::Google.Gemini.FunctionResponse? Type117 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type118 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type118 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type119 { get; set; } + public global::System.Collections.Generic.IList? Type119 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type120 { get; set; } + public global::Google.Gemini.McpServer? Type120 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type121 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type121 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type122 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type122 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type123 { get; set; } + public global::System.Collections.Generic.IList? Type123 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type124 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type124 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type125 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type125 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type126 { get; set; } + public global::Google.Gemini.Permission? Type126 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type127 { get; set; } + public global::Google.Gemini.PermissionRole? Type127 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type128 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type128 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type129 { get; set; } + public global::Google.Gemini.TunedModel? Type129 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type130 { get; set; } + public global::Google.Gemini.TunedModelSource? Type130 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type131 { get; set; } + public global::Google.Gemini.TunedModelState? Type131 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type132 { get; set; } + public global::Google.Gemini.TuningTask? Type132 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type133 { get; set; } + public global::System.Collections.Generic.IList? Type133 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type134 { get; set; } + public global::Google.Gemini.ToolResponse? Type134 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type135 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type135 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type136 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type136 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type137 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type137 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type138 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type138 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type139 { get; set; } + public global::Google.Gemini.InlinedResponses? Type139 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type140 { get; set; } + public global::Google.Gemini.Corpus? Type140 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type141 { get; set; } + public global::Google.Gemini.ExecutableCode? Type141 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type142 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type142 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type143 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type143 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type144 { get; set; } + public global::System.Collections.Generic.IList? Type144 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type145 { get; set; } + public global::Google.Gemini.FileSearchStore? Type145 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type146 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type146 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type147 { get; set; } + public global::Google.Gemini.GoogleSearch? Type147 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type148 { get; set; } + public global::Google.Gemini.SearchTypes? Type148 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type149 { get; set; } + public global::Google.Gemini.Interval? Type149 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type150 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type150 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type151 { get; set; } + public global::Google.Gemini.InlinedResponse? Type151 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type152 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type152 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type153 { get; set; } + public global::Google.Gemini.CachedContent? Type153 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type154 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type154 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type155 { get; set; } + public global::System.Collections.Generic.IList? Type155 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type156 { get; set; } + public global::Google.Gemini.Tool? Type156 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type157 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type157 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type158 { get; set; } + public global::System.Collections.Generic.IList? Type158 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type159 { get; set; } + public global::System.Collections.Generic.IList? Type159 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type160 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type160 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type161 { get; set; } + public global::System.Collections.Generic.IList? Type161 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type162 { get; set; } + public global::Google.Gemini.Dataset? Type162 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type163 { get; set; } + public global::Google.Gemini.UsageMetadata? Type163 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type164 { get; set; } + public global::System.Collections.Generic.IList? Type164 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type165 { get; set; } + public global::Google.Gemini.Candidate? Type165 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type166 { get; set; } + public global::Google.Gemini.PromptFeedback? Type166 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type167 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type167 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type168 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type168 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type169 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type169 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type170 { get; set; } + public global::Google.Gemini.InputConfig? Type170 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type171 { get; set; } + public global::Google.Gemini.InlinedRequests? Type171 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type172 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type172 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type173 { get; set; } + public global::System.Collections.Generic.IList? Type173 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type174 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type174 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type175 { get; set; } + public global::System.Collections.Generic.IList? Type175 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type176 { get; set; } + public global::Google.Gemini.InlinedRequest? Type176 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type177 { get; set; } + public global::Google.Gemini.CitationSource? Type177 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type178 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type178 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type179 { get; set; } + public global::System.Collections.Generic.IList? Type179 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type180 { get; set; } + public global::Google.Gemini.Part? Type180 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type181 { get; set; } + public global::Google.Gemini.Blob? Type181 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type182 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type182 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type183 { get; set; } + public global::Google.Gemini.Hyperparameters? Type183 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type184 { get; set; } + public global::System.Collections.Generic.IList? Type184 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type185 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type185 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type186 { get; set; } + public global::Google.Gemini.Maps? Type186 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type187 { get; set; } + public global::System.Collections.Generic.IList? Type187 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type188 { get; set; } + public global::System.Collections.Generic.Dictionary? Type188 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type189 { get; set; } + public global::Google.Gemini.SchemaType? 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.GenerateContentBatchState? Type191 { get; set; } + public global::Google.Gemini.Empty? Type191 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type192 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type192 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type193 { get; set; } + public global::Google.Gemini.Document? Type193 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type194 { get; set; } + public global::Google.Gemini.DocumentState? Type194 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type195 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type195 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type196 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type196 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type197 { get; set; } + public global::System.Collections.Generic.IList? Type197 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type198 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type198 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type199 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type199 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type200 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type200 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type201 { get; set; } + public global::System.Collections.Generic.IList? Type201 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type202 { get; set; } + public global::Google.Gemini.LatLng? Type202 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type203 { get; set; } + public global::Google.Gemini.Web? Type203 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type204 { get; set; } + public global::Google.Gemini.UrlContext? Type204 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type205 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type205 { get; set; } /// /// /// @@ -860,248 +860,248 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type208 { get; set; } + public global::System.Collections.Generic.IList? Type208 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type209 { get; set; } + public global::Google.Gemini.CodeExecution? Type209 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type210 { get; set; } + public global::System.Collections.Generic.Dictionary? Type210 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type211 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type211 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type212 { get; set; } + public global::System.Collections.Generic.IList? Type212 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type213 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type213 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type214 { get; set; } + public global::System.Collections.Generic.IList? Type214 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type215 { get; set; } + public global::Google.Gemini.SafetyRating? Type215 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type216 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type216 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type217 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type217 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type218 { get; set; } + public global::Google.Gemini.WebSearch? Type218 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type219 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type219 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type220 { get; set; } + public global::System.Collections.Generic.IList? Type220 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type221 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type221 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type222 { get; set; } + public global::System.Collections.Generic.IList? Type222 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type223 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type223 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type224 { get; set; } + public global::Google.Gemini.GoogleMaps? Type224 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type225 { get; set; } + public global::Google.Gemini.CitationMetadata? Type225 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type226 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type226 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type228 { get; set; } + public global::System.Collections.Generic.IList? Type228 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type229 { get; set; } + public global::Google.Gemini.FileSearch? Type229 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type230 { get; set; } + public global::System.Collections.Generic.IList? Type230 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type231 { get; set; } + public global::System.Collections.Generic.IList? Type231 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type232 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type232 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type233 { get; set; } + public global::System.Collections.Generic.IList? Type233 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type234 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type234 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType29 { get; set; } + public global::System.Collections.Generic.List? ListType29 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// @@ -1109,7 +1109,7 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// @@ -1117,34 +1117,34 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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.BatchEmbedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs index 1c4f263ce..aa89d8724 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class BatchEmbedContentsResponse { - /// - /// Metadata on the usage of the embedding request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } - /// /// Output only. The embeddings for each request, in the same order as provided in the batch request.
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class BatchEmbedContentsResponse [global::System.Text.Json.Serialization.JsonPropertyName("embeddings")] public global::System.Collections.Generic.IList? Embeddings { get; set; } + /// + /// Metadata on the usage of the embedding request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class BatchEmbedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// Metadata on the usage of the embedding request. - /// /// /// Output only. The embeddings for each request, in the same order as provided in the batch request.
/// Included only in responses /// + /// + /// Metadata on the usage of the embedding request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchEmbedContentsResponse( - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, - global::System.Collections.Generic.IList? embeddings) + global::System.Collections.Generic.IList? embeddings, + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) { - this.UsageMetadata = usageMetadata; this.Embeddings = embeddings; + this.UsageMetadata = usageMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index 4682c7583..8ae62c841 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs @@ -15,13 +15,6 @@ public sealed partial class BatchStats [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] public string? FailedRequestCount { get; set; } - /// - /// Output only. The number of requests that are still pending processing.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } - /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -36,6 +29,13 @@ public sealed partial class BatchStats [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] public string? SuccessfulRequestCount { get; set; } + /// + /// Output only. The number of requests that are still pending processing.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -49,10 +49,6 @@ 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 that are still pending processing.
- /// Included only in responses - /// /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -61,19 +57,23 @@ public sealed partial class BatchStats /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// + /// + /// Output only. The number of requests that are still pending processing.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( string? failedRequestCount, - string? pendingRequestCount, string? requestCount, - string? successfulRequestCount) + string? successfulRequestCount, + string? pendingRequestCount) { this.FailedRequestCount = failedRequestCount; - this.PendingRequestCount = pendingRequestCount; this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; + this.PendingRequestCount = pendingRequestCount; } /// 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 7f8c9f253..669a15a8f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// Metadata on the usage of the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. @@ -21,11 +21,16 @@ public sealed partial class CachedContent public string? DisplayName { get; set; } /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { 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; } /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. @@ -34,10 +39,10 @@ public sealed partial class CachedContent public string? ExpireTime { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
@@ -47,41 +52,36 @@ public sealed partial class CachedContent public string? Name { 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. + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [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. + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Optional. Input only. Immutable. The content to cache. + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Input only. New TTL for this resource, input only. + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// Output only. When the cache entry was last updated in UTC time.
+ /// Output only. Creation time of the cache entry.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -92,74 +92,74 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// 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. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Metadata on the usage of the cached content. - /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Input only. New TTL for this resource, input only. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// + /// + /// 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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - global::System.Collections.Generic.IList? tools, - string? displayName, - string? createTime, - string? expireTime, - global::Google.Gemini.ToolConfig? toolConfig, - string? name, - string? model, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + string? displayName, global::Google.Gemini.Content? systemInstruction, + global::Google.Gemini.ToolConfig? toolConfig, + string? expireTime, global::System.Collections.Generic.IList? contents, + string? name, string? ttl, - string? updateTime) + string? model, + string? updateTime, + global::System.Collections.Generic.IList? tools, + string? createTime) { - this.Tools = tools; - this.DisplayName = displayName; - this.CreateTime = createTime; - this.ExpireTime = expireTime; - this.ToolConfig = toolConfig; - this.Name = name; - this.Model = model; this.UsageMetadata = usageMetadata; + this.DisplayName = displayName; this.SystemInstruction = systemInstruction; + this.ToolConfig = toolConfig; + this.ExpireTime = expireTime; this.Contents = contents; + this.Name = name; this.Ttl = ttl; + this.Model = model; this.UpdateTime = updateTime; + this.Tools = tools; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs index 2a3c8adc2..4d5218c66 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 @@ -9,24 +9,16 @@ namespace Google.Gemini public sealed partial class 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("finishMessage")] - public string? FinishMessage { get; set; } - - /// - /// A collection of source attributions for a piece of content. + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { 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 + /// 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("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. @@ -42,22 +34,23 @@ public sealed partial class Candidate public double? AvgLogprobs { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// Logprobs Result + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// A collection of source attributions for a piece of content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// /// Output only. Token count for this candidate.
@@ -67,10 +60,11 @@ public sealed partial class Candidate public int? TokenCount { 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; } /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
@@ -81,11 +75,17 @@ public sealed partial class Candidate public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + + /// + /// Metadata returned to client when grounding is enabled. + /// + [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 @@ -96,16 +96,11 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
- /// Included only in responses - /// - /// - /// A collection of source attributions for a piece of content. + /// + /// Logprobs Result /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. @@ -114,59 +109,64 @@ public sealed partial class Candidate /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Metadata related to url context retrieval tool. /// - /// - /// 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 /// - /// - /// Metadata returned to client when grounding is enabled. + /// + /// A collection of source attributions for a piece of content. /// /// /// Output only. Token count for this candidate.
/// Included only in responses /// - /// - /// Metadata related to url context retrieval tool. + /// + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses /// /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// + /// + /// Metadata returned to client when grounding is enabled. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - string? finishMessage, - global::Google.Gemini.CitationMetadata? citationMetadata, - global::System.Collections.Generic.IList? groundingAttributions, + global::Google.Gemini.LogprobsResult? logprobsResult, + global::Google.Gemini.Content? content, global::System.Collections.Generic.IList? safetyRatings, double? avgLogprobs, - global::Google.Gemini.Content? content, - global::Google.Gemini.LogprobsResult? logprobsResult, - global::Google.Gemini.GroundingMetadata? groundingMetadata, - int? tokenCount, global::Google.Gemini.UrlContextMetadata? urlContextMetadata, + string? finishMessage, + global::Google.Gemini.CitationMetadata? citationMetadata, + int? tokenCount, + int? index, global::Google.Gemini.CandidateFinishReason? finishReason, - int? index) + global::System.Collections.Generic.IList? groundingAttributions, + global::Google.Gemini.GroundingMetadata? groundingMetadata) { - this.FinishMessage = finishMessage; - this.CitationMetadata = citationMetadata; - this.GroundingAttributions = groundingAttributions; + this.LogprobsResult = logprobsResult; + this.Content = content; this.SafetyRatings = safetyRatings; this.AvgLogprobs = avgLogprobs; - this.Content = content; - this.LogprobsResult = logprobsResult; - this.GroundingMetadata = groundingMetadata; - this.TokenCount = tokenCount; this.UrlContextMetadata = urlContextMetadata; - this.FinishReason = finishReason; + this.FinishMessage = finishMessage; + this.CitationMetadata = citationMetadata; + this.TokenCount = tokenCount; this.Index = index; + this.FinishReason = finishReason; + this.GroundingAttributions = groundingAttributions; + 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 321333a1e..b3913b220 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 @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class CitationSource { - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("license")] - public string? License { get; set; } - - /// - /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } - /// /// Optional. URI that is attributed as a source for a portion of the text. /// @@ -32,6 +20,18 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] public int? EndIndex { get; set; } + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("license")] + public string? License { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// - /// - /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. - /// /// /// Optional. URI that is attributed as a source for a portion of the text. /// /// /// Optional. End of the attributed segment, exclusive. /// + /// + /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. + /// + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - string? license, - int? startIndex, string? uri, - int? endIndex) + int? endIndex, + int? startIndex, + string? license) { - this.License = license; - this.StartIndex = startIndex; this.Uri = uri; this.EndIndex = endIndex; + this.StartIndex = startIndex; + this.License = license; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs index 1669c1ec4..a00407217 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 @@ -15,18 +15,18 @@ 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. Contains stdout when code execution is successful, stderr or other description otherwise. - /// - [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; } + /// + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public string? Output { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class CodeExecutionResult /// /// Required. Outcome of the code execution. /// - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. - /// /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// + /// + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( global::Google.Gemini.CodeExecutionResultOutcome? outcome, - string? output, - string? id) + string? id, + string? output) { this.Outcome = outcome; - this.Output = output; this.Id = id; + this.Output = output; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs index 37c75a47a..2c1f1bec4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Content { - /// - /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } - /// /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. /// [global::System.Text.Json.Serialization.JsonPropertyName("role")] public string? Role { get; set; } + /// + /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Content /// /// Initializes a new instance of the class. /// - /// - /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. - /// /// /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. /// + /// + /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Content( - global::System.Collections.Generic.IList? parts, - string? role) + string? role, + global::System.Collections.Generic.IList? parts) { - this.Parts = parts; this.Role = role; + this.Parts = parts; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs index 8c91f8f64..a0c18e6cd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class Corpus { /// - /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
- /// Included only in responses + /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - [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 `Corpus` was last updated.
@@ -23,10 +22,11 @@ public sealed partial class Corpus public string? UpdateTime { get; set; } /// - /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. The Timestamp of when the `Corpus` was created.
@@ -44,16 +44,16 @@ public sealed partial class Corpus /// /// Initializes a new instance of the class. /// - /// - /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
- /// Included only in responses + /// + /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// - /// - /// 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. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
+ /// Included only in responses /// /// /// Output only. The Timestamp of when the `Corpus` was created.
@@ -63,14 +63,14 @@ public sealed partial class Corpus [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? name, - string? updateTime, string? displayName, + string? updateTime, + string? name, string? createTime) { - this.Name = name; - this.UpdateTime = updateTime; this.DisplayName = displayName; + this.UpdateTime = updateTime; + this.Name = name; this.CreateTime = createTime; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs index aae3f8638..f287bd8ad 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class CountTokensRequest { - /// - /// Request to generate a completion from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("generateContentRequest")] - public global::Google.Gemini.GenerateContentRequest? GenerateContentRequest { get; set; } - /// /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. /// [global::System.Text.Json.Serialization.JsonPropertyName("contents")] public global::System.Collections.Generic.IList? Contents { get; set; } + /// + /// Request to generate a completion from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("generateContentRequest")] + public global::Google.Gemini.GenerateContentRequest? GenerateContentRequest { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class CountTokensRequest /// /// Initializes a new instance of the class. /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. /// + /// + /// Request to generate a completion from the model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensRequest( - global::Google.Gemini.GenerateContentRequest? generateContentRequest, - global::System.Collections.Generic.IList? contents) + global::System.Collections.Generic.IList? contents, + global::Google.Gemini.GenerateContentRequest? generateContentRequest) { - this.GenerateContentRequest = generateContentRequest; this.Contents = contents; + this.GenerateContentRequest = generateContentRequest; } /// 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 d299dcceb..ad3760ed9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -14,12 +14,6 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] public int? CachedContentTokenCount { get; set; } - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] - public int? TotalTokens { get; set; } - /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -34,6 +28,12 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] + public int? TotalTokens { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -46,9 +46,6 @@ public sealed partial class CountTokensResponse /// /// Number of tokens in the cached part of the prompt (the cached content). /// - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. - /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -57,19 +54,22 @@ public sealed partial class CountTokensResponse /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( int? cachedContentTokenCount, - int? totalTokens, global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails) + global::System.Collections.Generic.IList? cacheTokensDetails, + int? totalTokens) { this.CachedContentTokenCount = cachedContentTokenCount; - this.TotalTokens = totalTokens; this.PromptTokensDetails = promptTokensDetails; this.CacheTokensDetails = cacheTokensDetails; + this.TotalTokens = totalTokens; } /// 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 9d01c88f7..431c3f037 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 @@ -15,10 +15,10 @@ public sealed partial class CustomLongRunningOperation public object? Metadata { get; set; } /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. @@ -33,10 +33,10 @@ public sealed partial class CustomLongRunningOperation 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). + /// 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("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,8 +50,8 @@ 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. /// - /// - /// 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`. @@ -59,24 +59,24 @@ public sealed partial class CustomLongRunningOperation /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( object? metadata, - bool? done, + global::Google.Gemini.Status? error, object? response, string? name, - global::Google.Gemini.Status? error) + bool? done) { this.Metadata = metadata; - this.Done = done; + this.Error = error; this.Response = response; this.Name = name; - this.Error = error; + this.Done = done; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index 7186c282b..0c1192cad 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class CustomMetadata { /// - /// The string value of the metadata to store. + /// The numeric value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } /// /// Required. The key of the metadata to store. @@ -21,10 +21,10 @@ public sealed partial class CustomMetadata public string? Key { get; set; } /// - /// The numeric value of the metadata to store. + /// The string value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } /// /// User provided string values assigned to a single metadata key. @@ -41,14 +41,14 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// The string value of the metadata to store. + /// + /// The numeric value of the metadata to store. /// /// /// Required. The key of the metadata to store. /// - /// - /// The numeric value of the metadata to store. + /// + /// The string value of the metadata to store. /// /// /// User provided string values assigned to a single metadata key. @@ -57,14 +57,14 @@ public sealed partial class CustomMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - string? stringValue, - string? key, float? numericValue, + string? key, + string? stringValue, global::Google.Gemini.StringList? stringListValue) { - this.StringValue = stringValue; - this.Key = key; this.NumericValue = numericValue; + this.Key = key; + this.StringValue = stringValue; this.StringListValue = stringListValue; } 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 d0bd20990..e38e8854b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs @@ -8,20 +8,6 @@ namespace Google.Gemini /// public sealed partial class Document { - /// - /// Output only. Current state of the `Document`.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter))] - public global::Google.Gemini.DocumentState? State { get; set; } - - /// - /// 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; } - /// /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses @@ -30,11 +16,11 @@ public sealed partial class Document public string? UpdateTime { get; set; } /// - /// Output only. The mime type of the Document.
+ /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. The size of raw bytes ingested into the Document.
@@ -43,12 +29,6 @@ public sealed partial class Document [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`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { 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" /// @@ -56,11 +36,31 @@ public sealed partial class Document public string? DisplayName { get; set; } /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// Output only. Current state of the `Document`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter))] + public global::Google.Gemini.DocumentState? State { get; set; } + + /// + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + + /// + /// Output only. The mime type of the Document.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { 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. 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` - /// /// /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - /// - /// Output only. The mime type of the Document.
+ /// + /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// /// /// 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`. - /// /// /// 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.
+ /// + /// 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` + /// + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + /// + /// Output only. The mime type of the Document.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - global::Google.Gemini.DocumentState? state, - string? name, string? updateTime, - string? mimeType, + string? createTime, string? sizeBytes, - global::System.Collections.Generic.IList? customMetadata, string? displayName, - string? createTime) + global::Google.Gemini.DocumentState? state, + string? name, + global::System.Collections.Generic.IList? customMetadata, + string? mimeType) { - this.State = state; - this.Name = name; this.UpdateTime = updateTime; - this.MimeType = mimeType; + this.CreateTime = createTime; this.SizeBytes = sizeBytes; - this.CustomMetadata = customMetadata; this.DisplayName = displayName; - this.CreateTime = createTime; + this.State = state; + this.Name = name; + this.CustomMetadata = customMetadata; + this.MimeType = mimeType; } /// 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 b95310683..72431a96f 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 @@ -8,6 +8,20 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatch { + /// + /// Required. The user-defined name of this batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Output only. The state of the batch.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + /// /// Configures the input to the batch request. /// @@ -15,17 +29,16 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// Required. The user-defined name of this batch. + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Output only. The time at which the batch was created.
- /// Included only in responses + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -47,26 +60,6 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] public string? EndTime { get; set; } - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } - - /// - /// Stats about the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } - - /// - /// Output only. The state of the batch.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } - /// /// Output only. The time at which the batch was last updated.
/// Included only in responses @@ -80,6 +73,13 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("priority")] public string? Priority { get; set; } + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -89,16 +89,22 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Configures the input to the batch request. - /// /// /// Required. The user-defined name of this batch. /// - /// - /// Output only. The time at which the batch was created.
+ /// + /// Output only. The state of the batch.
/// Included only in responses /// + /// + /// Configures the input to the batch request. + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// + /// Stats about the batch. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -110,16 +116,6 @@ public sealed partial class EmbedContentBatch /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// - /// - /// Stats about the batch. - /// - /// - /// 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 @@ -127,33 +123,37 @@ public sealed partial class EmbedContentBatch /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - global::Google.Gemini.InputEmbedContentConfig? inputConfig, string? displayName, - string? createTime, + global::Google.Gemini.EmbedContentBatchState? state, + global::Google.Gemini.InputEmbedContentConfig? inputConfig, + global::Google.Gemini.EmbedContentBatchOutput? output, + global::Google.Gemini.EmbedContentBatchStats? batchStats, string? model, string? name, string? endTime, - global::Google.Gemini.EmbedContentBatchOutput? output, - global::Google.Gemini.EmbedContentBatchStats? batchStats, - global::Google.Gemini.EmbedContentBatchState? state, string? updateTime, - string? priority) + string? priority, + string? createTime) { - this.InputConfig = inputConfig; this.DisplayName = displayName; - this.CreateTime = createTime; + this.State = state; + this.InputConfig = inputConfig; + this.Output = output; + this.BatchStats = batchStats; this.Model = model; this.Name = name; this.EndTime = endTime; - this.Output = output; - this.BatchStats = batchStats; - this.State = state; this.UpdateTime = updateTime; this.Priority = priority; + this.CreateTime = createTime; } /// 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 973d4848e..c7ac9b5f4 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 @@ -8,12 +8,6 @@ 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 @@ -21,6 +15,12 @@ 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( - global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses, - string? responsesFile) + string? responsesFile, + global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses) { - this.InlinedResponses = inlinedResponses; this.ResponsesFile = responsesFile; + this.InlinedResponses = inlinedResponses; } /// 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 ed4da1213..750d5e598 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class EmbedContentBatchStats { /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// /// Output only. The number of requests in the batch.
@@ -45,14 +45,14 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// 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 /// + /// + /// Output only. The number of requests that are still pending processing.
+ /// Included only in responses + /// /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -65,13 +65,13 @@ public sealed partial class EmbedContentBatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? pendingRequestCount, string? failedRequestCount, + string? pendingRequestCount, string? requestCount, string? successfulRequestCount) { - this.PendingRequestCount = pendingRequestCount; this.FailedRequestCount = failedRequestCount; + this.PendingRequestCount = pendingRequestCount; this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; } 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 d26a94935..d484536e5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs @@ -8,6 +8,18 @@ namespace Google.Gemini /// public sealed partial class EmbedContentConfig { + /// + /// Optional. Whether to enable OCR for document content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } + + /// + /// Optional. Whether to extract audio from video content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] + public bool? AudioTrackExtraction { get; set; } + /// /// Optional. The title for the text. /// @@ -33,18 +45,6 @@ public sealed partial class EmbedContentConfig [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] public int? OutputDimensionality { get; set; } - /// - /// Optional. Whether to enable OCR for document content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } - - /// - /// Optional. Whether to extract audio from video content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -54,6 +54,12 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// + /// + /// Optional. Whether to enable OCR for document content. + /// + /// + /// Optional. Whether to extract audio from video content. + /// /// /// Optional. The title for the text. /// @@ -66,29 +72,23 @@ public sealed partial class EmbedContentConfig /// /// 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. - /// - /// - /// Optional. Whether to extract audio from video content. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( + bool? documentOcr, + bool? audioTrackExtraction, string? title, bool? autoTruncate, global::Google.Gemini.EmbedContentConfigTaskType? taskType, - int? outputDimensionality, - bool? documentOcr, - bool? audioTrackExtraction) + int? outputDimensionality) { + this.DocumentOcr = documentOcr; + this.AudioTrackExtraction = audioTrackExtraction; this.Title = title; this.AutoTruncate = autoTruncate; this.TaskType = taskType; this.OutputDimensionality = outputDimensionality; - this.DocumentOcr = documentOcr; - this.AudioTrackExtraction = audioTrackExtraction; } /// 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 0d52f17f5..f923e1287 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 @@ -19,16 +19,11 @@ public sealed partial class EmbedContentRequest public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { 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; } - - /// - /// Configurations for the EmbedContent request. + /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). /// - [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] - public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + [global::System.Obsolete("This property marked as deprecated.")] + public int? OutputDimensionality { 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. @@ -44,11 +39,16 @@ public sealed partial class EmbedContentRequest public string? Model { get; set; } /// - /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - [global::System.Obsolete("This property marked as deprecated.")] - public int? OutputDimensionality { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } + + /// + /// Configurations for the EmbedContent request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] + public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,26 +59,26 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Configurations for the EmbedContent request. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( + string? model, global::Google.Gemini.Content? content, - global::Google.Gemini.EmbedContentConfig? embedContentConfig, - string? model) + global::Google.Gemini.EmbedContentConfig? embedContentConfig) { + this.Model = model; this.Content = content; this.EmbedContentConfig = embedContentConfig; - this.Model = model; } /// 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 f9f4e11ff..4f2c65f29 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 { + /// + /// Required. The code to be executed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("code")] + public string? Code { get; set; } + /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// @@ -21,12 +27,6 @@ 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; } - /// - /// Required. The code to be executed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public string? Code { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ExecutableCode /// /// Initializes a new instance of the class. /// + /// + /// Required. The code to be executed. + /// /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// /// /// Required. Programming language of the `code`. /// - /// - /// Required. The code to be executed. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( + string? code, string? id, - global::Google.Gemini.ExecutableCodeLanguage? language, - string? code) + global::Google.Gemini.ExecutableCodeLanguage? language) { + this.Code = code; this.Id = id; this.Language = language; - this.Code = code; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs index f5cde36e3..d15e34930 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 @@ -22,19 +22,6 @@ public sealed partial class File [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] public byte[]? Sha256Hash { get; set; } - /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } - /// /// Output only. Size of the file in bytes.
/// Included only in responses @@ -49,17 +36,24 @@ public sealed partial class File public string? Name { get; set; } /// - /// Output only. MIME type of the file.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + + /// + /// Output only. MIME type of the file.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// /// Output only. The uri of the `File`.
@@ -69,10 +63,11 @@ public sealed partial class File public string? Uri { get; set; } /// - /// Metadata for a video `File`. + /// Output only. The timestamp of when the `File` was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Source of the File. @@ -82,11 +77,16 @@ public sealed partial class File public global::Google.Gemini.FileSource? Source { get; set; } /// - /// Output only. The download uri of the `File`.
- /// Included only in responses + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + + /// + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. Processing state of the File.
@@ -97,11 +97,11 @@ public sealed partial class File public global::Google.Gemini.FileState? State { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -120,13 +120,6 @@ public sealed partial class File /// 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" - /// - /// - /// 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. Size of the file in bytes.
/// Included only in responses @@ -134,33 +127,40 @@ public sealed partial class File /// /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// + /// + /// Output only. The download uri of the `File`.
+ /// Included only in responses + /// + /// + /// Metadata for a video `File`. + /// /// /// 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. The uri of the `File`.
/// Included only in responses /// - /// - /// Metadata for a video `File`. + /// + /// Output only. The timestamp of when the `File` was last updated.
+ /// Included only in responses /// /// /// Source of the File. /// - /// - /// Output only. The download uri of the `File`.
- /// Included only in responses + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// /// /// Output only. Processing state of the File.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// #if NET7_0_OR_GREATER @@ -169,33 +169,33 @@ public sealed partial class File public File( string? createTime, byte[]? sha256Hash, - string? displayName, - string? expirationTime, string? sizeBytes, string? name, + string? downloadUri, + global::Google.Gemini.VideoFileMetadata? videoMetadata, string? mimeType, - global::Google.Gemini.Status? error, string? uri, - global::Google.Gemini.VideoFileMetadata? videoMetadata, + string? updateTime, global::Google.Gemini.FileSource? source, - string? downloadUri, + global::Google.Gemini.Status? error, + string? displayName, global::Google.Gemini.FileState? state, - string? updateTime) + string? expirationTime) { this.CreateTime = createTime; this.Sha256Hash = sha256Hash; - this.DisplayName = displayName; - this.ExpirationTime = expirationTime; this.SizeBytes = sizeBytes; this.Name = name; + this.DownloadUri = downloadUri; + this.VideoMetadata = videoMetadata; this.MimeType = mimeType; - this.Error = error; this.Uri = uri; - this.VideoMetadata = videoMetadata; + this.UpdateTime = updateTime; this.Source = source; - this.DownloadUri = downloadUri; + this.Error = error; + this.DisplayName = displayName; this.State = state; - this.UpdateTime = updateTime; + this.ExpirationTime = expirationTime; } /// 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 0f185b2c7..6b607719a 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 { - /// - /// 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; } + /// + /// Optional. The IANA standard MIME type of the source data. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FileData /// /// Initializes a new instance of the class. /// - /// - /// Optional. The IANA standard MIME type of the source data. - /// /// /// Required. URI. /// + /// + /// Optional. The IANA standard MIME type of the source data. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileData( - string? mimeType, - string? fileUri) + string? fileUri, + string? mimeType) { - this.MimeType = mimeType; this.FileUri = fileUri; + this.MimeType = mimeType; } /// 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 4f1999e35..941bbd059 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] - public string? MetadataFilter { get; set; } - /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// @@ -26,6 +20,12 @@ public sealed partial class FileSearch [global::System.Text.Json.Serialization.JsonPropertyName("topK")] public int? TopK { get; set; } + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] + public string? MetadataFilter { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// /// /// Optional. The number of semantic retrieval chunks to retrieve. /// + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - string? metadataFilter, global::System.Collections.Generic.IList? fileSearchStoreNames, - int? topK) + int? topK, + string? metadataFilter) { - this.MetadataFilter = metadataFilter; this.FileSearchStoreNames = fileSearchStoreNames; this.TopK = topK; + this.MetadataFilter = metadataFilter; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index cfba65926..55a2d4905 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 @@ -9,11 +9,18 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// 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("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { 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" @@ -22,25 +29,25 @@ public sealed partial class FileSearchStore public string? DisplayName { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// 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 Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
@@ -56,13 +63,6 @@ public sealed partial class FileSearchStore [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] public string? ActiveDocumentsCount { get; set; } - /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -72,23 +72,27 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// + /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Included only in responses + /// + /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// /// /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// /// @@ -99,31 +103,27 @@ public sealed partial class FileSearchStore /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? failedDocumentsCount, + string? name, + string? pendingDocumentsCount, string? displayName, + string? failedDocumentsCount, + string? sizeBytes, string? createTime, - string? pendingDocumentsCount, - string? name, string? updateTime, - string? activeDocumentsCount, - string? sizeBytes) + string? activeDocumentsCount) { - this.FailedDocumentsCount = failedDocumentsCount; + this.Name = name; + this.PendingDocumentsCount = pendingDocumentsCount; this.DisplayName = displayName; + this.FailedDocumentsCount = failedDocumentsCount; + this.SizeBytes = sizeBytes; this.CreateTime = createTime; - this.PendingDocumentsCount = pendingDocumentsCount; - this.Name = name; this.UpdateTime = updateTime; this.ActiveDocumentsCount = activeDocumentsCount; - this.SizeBytes = sizeBytes; } /// 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 34bb1ab5c..4f2fd7633 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 @@ -8,12 +8,6 @@ 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. /// @@ -21,6 +15,12 @@ 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. 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. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCallingConfig( - global::System.Collections.Generic.IList? allowedFunctionNames, - global::Google.Gemini.FunctionCallingConfigMode? mode) + global::Google.Gemini.FunctionCallingConfigMode? mode, + global::System.Collections.Generic.IList? allowedFunctionNames) { - this.AllowedFunctionNames = allowedFunctionNames; this.Mode = mode; + this.AllowedFunctionNames = allowedFunctionNames; } /// 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 950038d51..5746a907c 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 @@ -8,30 +8,24 @@ namespace Google.Gemini /// public sealed partial class FunctionDeclaration { - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } - /// /// Required. A brief description of the function. /// [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; } - /// /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } + /// /// 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). /// @@ -44,6 +38,12 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] public object? ResponseJsonSchema { get; set; } + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } + /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// @@ -60,24 +60,24 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// /// /// Required. A brief description of the function. /// - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. - /// /// /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// + /// + /// 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). /// /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// @@ -85,20 +85,20 @@ public sealed partial class FunctionDeclaration [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - global::Google.Gemini.Schema? parameters, string? description, - object? parametersJsonSchema, string? name, + object? parametersJsonSchema, global::Google.Gemini.Schema? response, object? responseJsonSchema, + global::Google.Gemini.Schema? parameters, global::Google.Gemini.FunctionDeclarationBehavior? behavior) { - this.Parameters = parameters; this.Description = description; - this.ParametersJsonSchema = parametersJsonSchema; this.Name = name; + this.ParametersJsonSchema = parametersJsonSchema; this.Response = response; this.ResponseJsonSchema = responseJsonSchema; + this.Parameters = parameters; this.Behavior = behavior; } 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 095312266..614f3f400 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -9,16 +9,17 @@ namespace Google.Gemini public sealed partial class FunctionResponse { /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] + public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } /// - /// 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. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. @@ -27,23 +28,22 @@ public sealed partial class FunctionResponse public string? Id { get; set; } /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] - public bool? WillContinue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. + /// Optional. 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("scheduling")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] - public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] + public bool? WillContinue { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,41 +54,41 @@ public sealed partial class FunctionResponse /// /// Initializes a new instance of the class. /// + /// + /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. + /// + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `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. /// /// /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. /// - /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. - /// - /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( + global::Google.Gemini.FunctionResponseScheduling? scheduling, + global::System.Collections.Generic.IList? parts, + string? id, string? name, object? response, - string? id, - bool? willContinue, - global::System.Collections.Generic.IList? parts, - global::Google.Gemini.FunctionResponseScheduling? scheduling) + bool? willContinue) { + this.Scheduling = scheduling; + this.Parts = parts; + this.Id = id; this.Name = name; this.Response = response; - this.Id = id; this.WillContinue = willContinue; - this.Parts = parts; - this.Scheduling = scheduling; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs index d727aa3ec..68b61c647 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FunctionResponseBlob { - /// - /// Raw bytes for media formats. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("data")] - public byte[]? Data { get; set; } - /// /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Raw bytes for media formats. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("data")] + public byte[]? Data { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FunctionResponseBlob /// /// Initializes a new instance of the class. /// - /// - /// Raw bytes for media formats. - /// /// /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). /// + /// + /// Raw bytes for media formats. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponseBlob( - byte[]? data, - string? mimeType) + string? mimeType, + byte[]? data) { - this.Data = data; this.MimeType = mimeType; + this.Data = data; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs index cfe0ac089..0db27a0c2 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 @@ -9,10 +9,10 @@ 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. + /// 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 state of the batch.
@@ -22,19 +22,6 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] public global::Google.Gemini.GenerateContentBatchState? State { get; set; } - /// - /// 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; } - - /// - /// Stats about the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } - /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// @@ -42,11 +29,16 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } + + /// + /// Stats about the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -62,16 +54,11 @@ public sealed partial class GenerateContentBatch public string? Name { get; set; } /// - /// Configures the input to the batch request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } - - /// - /// Required. The user-defined name of this batch. + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { 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 +67,19 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { 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; } + + /// + /// 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -89,26 +89,21 @@ 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. /// /// /// 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 - /// - /// - /// Stats about the batch. - /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// + /// Configures the input to the batch request. + /// + /// + /// Stats about the batch. /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -117,43 +112,48 @@ public sealed partial class GenerateContentBatch /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - /// - /// Configures the input to the batch request. - /// - /// - /// Required. The user-defined name of this batch. + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// + /// + /// Output only. The time at which the batch was last updated.
+ /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? priority, + string? displayName, global::Google.Gemini.GenerateContentBatchState? state, - string? updateTime, - global::Google.Gemini.BatchStats? batchStats, global::Google.Gemini.GenerateContentBatchOutput? output, - string? endTime, + global::Google.Gemini.InputConfig? inputConfig, + global::Google.Gemini.BatchStats? batchStats, string? model, string? name, - global::Google.Gemini.InputConfig? inputConfig, - string? displayName, - string? createTime) + string? endTime, + string? createTime, + string? updateTime, + string? priority) { - this.Priority = priority; + this.DisplayName = displayName; this.State = state; - this.UpdateTime = updateTime; - this.BatchStats = batchStats; this.Output = output; - this.EndTime = endTime; + this.InputConfig = inputConfig; + this.BatchStats = batchStats; this.Model = model; this.Name = name; - this.InputConfig = inputConfig; - this.DisplayName = displayName; + this.EndTime = endTime; this.CreateTime = createTime; + this.UpdateTime = updateTime; + this.Priority = priority; } /// 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 12a631bfb..ca3508f3a 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 @@ -8,12 +8,6 @@ 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 @@ -21,6 +15,12 @@ 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( - global::Google.Gemini.InlinedResponses? inlinedResponses, - string? responsesFile) + string? responsesFile, + global::Google.Gemini.InlinedResponses? inlinedResponses) { - this.InlinedResponses = inlinedResponses; this.ResponsesFile = responsesFile; + this.InlinedResponses = inlinedResponses; } /// 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 8d0fb8068..a09276164 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 +9,16 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// 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("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -26,18 +26,6 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("model")] public string? Model { get; set; } - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } - - /// - /// 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; } - /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// @@ -52,10 +40,10 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` @@ -63,6 +51,18 @@ public sealed partial class GenerateContentRequest [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } + + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -78,33 +78,33 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// 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. + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// @@ -112,26 +112,26 @@ public sealed partial class GenerateContentRequest [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( + global::System.Collections.Generic.IList? tools, global::System.Collections.Generic.IList? contents, - global::Google.Gemini.Content? systemInstruction, string? model, - global::System.Collections.Generic.IList? safetySettings, - global::Google.Gemini.ToolConfig? toolConfig, global::Google.Gemini.GenerationConfig? generationConfig, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::System.Collections.Generic.IList? tools, + global::System.Collections.Generic.IList? safetySettings, string? cachedContent, + global::Google.Gemini.Content? systemInstruction, + global::Google.Gemini.ToolConfig? toolConfig, bool? store) { + this.Tools = tools; this.Contents = contents; - this.SystemInstruction = systemInstruction; this.Model = model; - this.SafetySettings = safetySettings; - this.ToolConfig = toolConfig; this.GenerationConfig = generationConfig; this.ServiceTier = serviceTier; - this.Tools = tools; + this.SafetySettings = safetySettings; this.CachedContent = cachedContent; + this.SystemInstruction = systemInstruction; + this.ToolConfig = toolConfig; this.Store = store; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs index 88614b056..892422476 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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GenerateContentResponse { - /// - /// Candidate responses from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { get; set; } - /// /// Metadata on the generation request's token usage. /// [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + /// + /// Candidate responses from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } + /// /// Output only. The model version used to generate the response.
/// Included only in responses @@ -27,6 +27,13 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] public string? ModelVersion { get; set; } + /// + /// Output only. response_id is used to identify each response.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] + public string? ResponseId { get; set; } + /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// @@ -39,13 +46,6 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } - /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] - public string? ResponseId { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -55,43 +55,43 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Candidate responses from the model. - /// /// /// Metadata on the generation request's token usage. /// + /// + /// Candidate responses from the model. + /// /// /// Output only. The model version used to generate the response.
/// Included only in responses /// + /// + /// Output only. response_id is used to identify each response.
+ /// Included only in responses + /// /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses - /// #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::System.Collections.Generic.IList? candidates, string? modelVersion, + string? responseId, global::Google.Gemini.ModelStatus? modelStatus, - global::Google.Gemini.PromptFeedback? promptFeedback, - string? responseId) + global::Google.Gemini.PromptFeedback? promptFeedback) { - this.Candidates = candidates; this.UsageMetadata = usageMetadata; + this.Candidates = candidates; this.ModelVersion = modelVersion; + this.ResponseId = responseId; this.ModelStatus = modelStatus; this.PromptFeedback = promptFeedback; - this.ResponseId = responseId; } /// 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 91d9bac5c..06ec0e80e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GeneratedFile { - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -22,6 +16,12 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] public global::Google.Gemini.GeneratedFileState? State { get; set; } + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + /// /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// @@ -43,13 +43,13 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// /// /// Output only. The state of the GeneratedFile.
/// Included only in responses /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// /// /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// @@ -60,13 +60,13 @@ public sealed partial class GeneratedFile [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - global::Google.Gemini.Status? error, global::Google.Gemini.GeneratedFileState? state, + global::Google.Gemini.Status? error, string? name, string? mimeType) { - this.Error = error; this.State = state; + this.Error = error; this.Name = name; this.MimeType = mimeType; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index 65849af92..67eac30a3 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 @@ -15,34 +15,34 @@ public sealed partial class GenerationConfig 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. 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("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } /// - /// Optional. 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. + /// 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("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// - /// Config for image generation features. + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [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). + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { 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]. @@ -50,6 +50,12 @@ public sealed partial class GenerationConfig [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] public float? Temperature { get; set; } + /// + /// Optional. If true, export the logprobs results in response. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } + /// /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// @@ -57,16 +63,16 @@ public sealed partial class GenerationConfig public int? Seed { get; set; } /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// /// Optional. 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. @@ -75,47 +81,35 @@ public sealed partial class GenerationConfig public float? TopP { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. - /// - [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. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] - public string? ResponseMimeType { get; set; } - - /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// - /// Optional. If true, export the logprobs results in response. + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { 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. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { get; set; } /// /// Optional. 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 +118,16 @@ public sealed partial class GenerationConfig public float? PresencePenalty { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } + + /// + /// Config for image generation features. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -141,108 +141,108 @@ public sealed partial class GenerationConfig /// /// Config for thinking 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. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// Optional. The maximum 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. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. - /// - /// - /// Config for image generation features. - /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// /// /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// + /// + /// Optional. If true, export the logprobs results in response. + /// /// /// 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. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// /// /// Optional. 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. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// + /// Config for speech generation and transcription. + /// + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// /// /// Optional. If specified, the media resolution specified will be used. /// - /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. - /// /// /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. - /// - /// - /// Optional. If true, export the logprobs results in response. - /// - /// - /// Config for speech generation and transcription. - /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. - /// /// /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// - /// - /// 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. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// + /// + /// Config for image generation features. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( global::Google.Gemini.ThinkingConfig? thinkingConfig, + global::System.Collections.Generic.IList? responseModalities, int? candidateCount, - int? topK, - float? frequencyPenalty, - global::Google.Gemini.ImageConfig? imageConfig, global::Google.Gemini.Schema? responseSchema, + int? maxOutputTokens, + global::System.Collections.Generic.IList? stopSequences, float? temperature, + bool? responseLogprobs, int? seed, - global::System.Collections.Generic.IList? responseModalities, - int? maxOutputTokens, + string? responseMimeType, + int? logprobs, float? topP, + object? responseJsonSchema, + global::Google.Gemini.SpeechConfig? speechConfig, + int? topK, global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - string? responseMimeType, bool? enableEnhancedCivicAnswers, - global::System.Collections.Generic.IList? stopSequences, - bool? responseLogprobs, - global::Google.Gemini.SpeechConfig? speechConfig, - object? responseJsonSchema, float? presencePenalty, - int? logprobs) + float? frequencyPenalty, + global::Google.Gemini.ImageConfig? imageConfig) { this.ThinkingConfig = thinkingConfig; + this.ResponseModalities = responseModalities; this.CandidateCount = candidateCount; - this.TopK = topK; - this.FrequencyPenalty = frequencyPenalty; - this.ImageConfig = imageConfig; this.ResponseSchema = responseSchema; + this.MaxOutputTokens = maxOutputTokens; + this.StopSequences = stopSequences; this.Temperature = temperature; + this.ResponseLogprobs = responseLogprobs; this.Seed = seed; - this.ResponseModalities = responseModalities; - this.MaxOutputTokens = maxOutputTokens; + this.ResponseMimeType = responseMimeType; + this.Logprobs = logprobs; this.TopP = topP; + this.ResponseJsonSchema = responseJsonSchema; + this.SpeechConfig = speechConfig; + this.TopK = topK; this.MediaResolution = mediaResolution; - this.ResponseMimeType = responseMimeType; this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.StopSequences = stopSequences; - this.ResponseLogprobs = responseLogprobs; - this.SpeechConfig = speechConfig; - this.ResponseJsonSchema = responseJsonSchema; this.PresencePenalty = presencePenalty; - this.Logprobs = logprobs; + this.FrequencyPenalty = frequencyPenalty; + this.ImageConfig = imageConfig; } /// 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 53b770ead..4f69fee11 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// - [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] - public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] + public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } /// /// Segment of the content. @@ -28,10 +28,10 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport public global::System.Collections.Generic.IList? RenderedParts { get; set; } /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] - public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] + public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -42,8 +42,8 @@ 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. + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// /// /// Segment of the content. @@ -52,22 +52,22 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
/// Included only in responses /// - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( - global::System.Collections.Generic.IList? confidenceScores, + global::System.Collections.Generic.IList? groundingChunkIndices, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, global::System.Collections.Generic.IList? renderedParts, - global::System.Collections.Generic.IList? groundingChunkIndices) + global::System.Collections.Generic.IList? confidenceScores) { - this.ConfidenceScores = confidenceScores; + this.GroundingChunkIndices = groundingChunkIndices; this.Segment = segment; this.RenderedParts = renderedParts; - this.GroundingChunkIndices = groundingChunkIndices; + this.ConfidenceScores = confidenceScores; } /// 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 d6183e502..66ec2964a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaSegment { - /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } - /// /// The text corresponding to the segment from the response. /// @@ -26,6 +20,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] public int? PartIndex { get; set; } + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// + [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. /// @@ -41,15 +41,15 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// - /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// /// /// The text corresponding to the segment from the response. /// /// /// 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. /// @@ -57,14 +57,14 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? endIndex, string? text, int? partIndex, + int? endIndex, int? startIndex) { - this.EndIndex = endIndex; this.Text = text; this.PartIndex = partIndex; + this.EndIndex = endIndex; this.StartIndex = startIndex; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs index bcc9b423f..364544621 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GoogleSearch { - /// - /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeRangeFilter")] - public global::Google.Gemini.Interval? TimeRangeFilter { get; set; } - /// /// Different types of search that can be enabled on the GoogleSearch tool. /// [global::System.Text.Json.Serialization.JsonPropertyName("searchTypes")] public global::Google.Gemini.SearchTypes? SearchTypes { get; set; } + /// + /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("timeRangeFilter")] + public global::Google.Gemini.Interval? TimeRangeFilter { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GoogleSearch /// /// Initializes a new instance of the class. /// - /// - /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. - /// /// /// Different types of search that can be enabled on the GoogleSearch tool. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleSearch( - global::Google.Gemini.Interval? timeRangeFilter, - global::Google.Gemini.SearchTypes? searchTypes) + global::Google.Gemini.SearchTypes? searchTypes, + global::Google.Gemini.Interval? timeRangeFilter) { - this.TimeRangeFilter = timeRangeFilter; this.SearchTypes = searchTypes; + this.TimeRangeFilter = timeRangeFilter; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs index fadfe83a1..26223c8fd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GroundingAttribution { - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } - /// /// Identifier for the source contributing to this attribution. /// [global::System.Text.Json.Serialization.JsonPropertyName("sourceId")] public global::Google.Gemini.AttributionSourceId? SourceId { get; set; } + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GroundingAttribution /// /// Initializes a new instance of the class. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Identifier for the source contributing to this attribution. /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingAttribution( - global::Google.Gemini.Content? content, - global::Google.Gemini.AttributionSourceId? sourceId) + global::Google.Gemini.AttributionSourceId? sourceId, + global::Google.Gemini.Content? content) { - this.Content = content; this.SourceId = sourceId; + this.Content = content; } /// 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..ac519a572 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 @@ -14,18 +14,18 @@ public sealed partial class GroundingChunk [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 context retrieved by the file search tool. /// [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } + /// + /// Chunk from image search. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("image")] + public global::Google.Gemini.Image? Image { get; set; } + /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// @@ -44,12 +44,12 @@ public sealed partial class GroundingChunk /// /// Chunk from the web. /// - /// - /// Chunk from image search. - /// /// /// Chunk from context retrieved by the file search tool. /// + /// + /// Chunk from image search. + /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// @@ -58,13 +58,13 @@ public sealed partial class GroundingChunk #endif public GroundingChunk( global::Google.Gemini.Web? web, - global::Google.Gemini.Image? image, global::Google.Gemini.RetrievedContext? retrievedContext, + global::Google.Gemini.Image? image, global::Google.Gemini.Maps? maps) { this.Web = web; - this.Image = image; this.RetrievedContext = retrievedContext; + this.Image = image; 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 52714bd97..c0b6fa671 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingChunkCustomMetadata { - /// - /// A list of string values. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } - /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// @@ -32,6 +26,12 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] public string? StringValue { get; set; } + /// + /// A list of string values. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,9 +41,6 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// A list of string values. - /// /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// @@ -53,19 +50,22 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Optional. The string value of the metadata. /// + /// + /// A list of string values. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - global::Google.Gemini.GroundingChunkStringList? stringListValue, float? numericValue, string? key, - string? stringValue) + string? stringValue, + global::Google.Gemini.GroundingChunkStringList? stringListValue) { - this.StringListValue = stringListValue; this.NumericValue = numericValue; this.Key = key; this.StringValue = stringValue; + this.StringListValue = stringListValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs index fea37cc81..08b57403f 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 @@ -14,12 +14,6 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] public global::System.Collections.Generic.IList? GroundingSupports { get; set; } - /// - /// Image search queries used for grounding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } - /// /// Metadata related to retrieval in the grounding flow. /// @@ -27,10 +21,16 @@ public sealed partial class GroundingMetadata public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { 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. + /// Image search queries used for grounding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] + public global::System.Collections.Generic.IList? ImageSearchQueries { 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; } /// /// Google search entry point. @@ -39,16 +39,16 @@ public sealed partial class GroundingMetadata public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } /// - /// Web search queries for the following-up web search. + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] + public string? GoogleMapsWidgetContextToken { get; set; } /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// Web search queries for the following-up web search. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] + public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -62,43 +62,43 @@ public sealed partial class GroundingMetadata /// /// List of grounding support. /// - /// - /// Image search queries used for grounding. - /// /// /// Metadata related to retrieval in the grounding flow. /// - /// - /// 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. + /// + /// Image search queries used for grounding. + /// + /// + /// 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. /// /// /// Google search entry point. /// + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// /// /// Web search queries for the following-up web search. /// - /// - /// 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( global::System.Collections.Generic.IList? groundingSupports, - global::System.Collections.Generic.IList? imageSearchQueries, global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - string? googleMapsWidgetContextToken, + global::System.Collections.Generic.IList? imageSearchQueries, + global::System.Collections.Generic.IList? groundingChunks, global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - global::System.Collections.Generic.IList? webSearchQueries, - global::System.Collections.Generic.IList? groundingChunks) + string? googleMapsWidgetContextToken, + global::System.Collections.Generic.IList? webSearchQueries) { this.GroundingSupports = groundingSupports; - this.ImageSearchQueries = imageSearchQueries; this.RetrievalMetadata = retrievalMetadata; - this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; + this.ImageSearchQueries = imageSearchQueries; + this.GroundingChunks = groundingChunks; this.SearchEntryPoint = searchEntryPoint; + this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.WebSearchQueries = webSearchQueries; - this.GroundingChunks = groundingChunks; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs index 29ecf6d1f..6d7ea670d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class GroundingPassageId { /// - /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
+ /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("passageId")] - public string? PassageId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] + public int? PartIndex { get; set; } /// - /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
+ /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] - public int? PartIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("passageId")] + public string? PassageId { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class GroundingPassageId /// /// Initializes a new instance of the class. /// - /// - /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
- /// Included only in responses - /// /// /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
/// Included only in responses /// + /// + /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingPassageId( - string? passageId, - int? partIndex) + int? partIndex, + string? passageId) { - this.PassageId = passageId; this.PartIndex = partIndex; + this.PassageId = passageId; } /// 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 0659cdb31..c483dabf9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class Image { - /// - /// The web page URI for attribution. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] - public string? SourceUri { get; set; } - - /// - /// The title of the web page that the image is from. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// The image asset URL. /// @@ -32,6 +20,18 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("domain")] public string? Domain { get; set; } + /// + /// The web page URI for attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] + public string? SourceUri { get; set; } + + /// + /// The title of the web page that the image is from. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// - /// - /// The web page URI for attribution. - /// - /// - /// The title of the web page that the image is from. - /// /// /// The image asset URL. /// /// /// The root domain of the web page that the image is from, e.g. "example.com". /// + /// + /// The web page URI for attribution. + /// + /// + /// The title of the web page that the image is from. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? sourceUri, - string? title, string? imageUri, - string? domain) + string? domain, + string? sourceUri, + string? title) { - this.SourceUri = sourceUri; - this.Title = title; this.ImageUri = imageUri; this.Domain = domain; + this.SourceUri = sourceUri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs index 5ed82a68d..84e2562f8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ImageConfig { - /// - /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] - public string? ImageSize { get; set; } - /// /// Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided. /// [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] public string? AspectRatio { get; set; } + /// + /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] + public string? ImageSize { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ImageConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. - /// /// /// Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided. /// + /// + /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageConfig( - string? imageSize, - string? aspectRatio) + string? aspectRatio, + string? imageSize) { - this.ImageSize = imageSize; this.AspectRatio = aspectRatio; + this.ImageSize = imageSize; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 16ecdeeba..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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ImportFileRequest { /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// Required. The name of the `File` to import. Example: `files/abc-123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] - public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } /// /// Custom metadata to be associated with the file. @@ -21,10 +21,10 @@ public sealed partial class ImportFileRequest public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] + public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// /// Custom metadata to be associated with the file. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( - global::Google.Gemini.ChunkingConfig? chunkingConfig, + string? fileName, global::System.Collections.Generic.IList? customMetadata, - string? fileName) + global::Google.Gemini.ChunkingConfig? chunkingConfig) { - this.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 a3b4bba3f..c70f6aa29 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Optional. The metadata to be associated with the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// Request containing the `Content` for the model to embed. /// [global::System.Text.Json.Serialization.JsonPropertyName("request")] public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// + /// Optional. The metadata to be associated with the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The metadata to be associated with the request. - /// /// /// Request containing the `Content` for the model to embed. /// + /// + /// Optional. The metadata to be associated with the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - object? metadata, - global::Google.Gemini.EmbedContentRequest? request) + global::Google.Gemini.EmbedContentRequest? request, + object? metadata) { - this.Metadata = metadata; this.Request = request; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index 5849d8d11..67da504c8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -14,12 +14,6 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("response")] public global::Google.Gemini.EmbedContentResponse? Response { get; set; } - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -27,6 +21,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,24 +39,24 @@ public sealed partial class InlinedEmbedContentResponse /// /// The response to an `EmbedContentRequest`. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// /// /// 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). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( global::Google.Gemini.EmbedContentResponse? response, - global::Google.Gemini.Status? error, - object? metadata) + object? metadata, + global::Google.Gemini.Status? error) { this.Response = response; - this.Error = error; this.Metadata = metadata; + this.Error = error; } /// 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 9a6afbda5..3815f3fd4 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 { - /// - /// 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; } + /// + /// Optional. The metadata to be associated with the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The metadata to be associated with the request. - /// /// /// Request to generate a completion from the model. /// + /// + /// Optional. The metadata to be associated with the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedRequest( - object? metadata, - global::Google.Gemini.GenerateContentRequest? request) + global::Google.Gemini.GenerateContentRequest? request, + object? metadata) { - this.Metadata = metadata; this.Request = request; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index 22ff99f8e..9548e6f44 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class InlinedResponse { /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.GenerateContentResponse? Response { get; set; } /// /// Output only. The metadata associated with the request.
@@ -22,10 +22,10 @@ public sealed partial class InlinedResponse public object? Metadata { get; set; } /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// 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("response")] - public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + [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 @@ -36,27 +36,27 @@ public sealed partial class InlinedResponse /// /// Initializes a new instance of the class. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// 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 /// - /// - /// 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`. + /// + /// 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 InlinedResponse( - global::Google.Gemini.Status? error, + global::Google.Gemini.GenerateContentResponse? response, object? metadata, - global::Google.Gemini.GenerateContentResponse? response) + global::Google.Gemini.Status? error) { - this.Error = error; - this.Metadata = metadata; this.Response = response; + this.Metadata = metadata; + this.Error = error; } /// 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 01a06fc30..c37f2158f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputConfig { - /// - /// The name of the `File` containing the input requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } - /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// [global::System.Text.Json.Serialization.JsonPropertyName("requests")] public global::Google.Gemini.InlinedRequests? Requests { get; set; } + /// + /// The name of the `File` containing the input requests. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputConfig /// /// Initializes a new instance of the class. /// - /// - /// The name of the `File` containing the input requests. - /// /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// + /// + /// The name of the `File` containing the input requests. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputConfig( - string? fileName, - global::Google.Gemini.InlinedRequests? requests) + global::Google.Gemini.InlinedRequests? requests, + string? fileName) { - this.FileName = fileName; this.Requests = requests; + this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs index d91125c9f..acc98cfe5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputEmbedContentConfig { - /// - /// The name of the `File` containing the input requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } - /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// [global::System.Text.Json.Serialization.JsonPropertyName("requests")] public global::Google.Gemini.InlinedEmbedContentRequests? Requests { get; set; } + /// + /// The name of the `File` containing the input requests. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputEmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// The name of the `File` containing the input requests. - /// /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// + /// + /// The name of the `File` containing the input requests. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputEmbedContentConfig( - string? fileName, - global::Google.Gemini.InlinedEmbedContentRequests? requests) + global::Google.Gemini.InlinedEmbedContentRequests? requests, + string? fileName) { - this.FileName = fileName; this.Requests = requests; + this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs index d5800e1d6..0ba65b3e8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Interval { - /// - /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } - /// /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. /// [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] public string? EndTime { get; set; } + /// + /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Interval /// /// Initializes a new instance of the class. /// - /// - /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. - /// /// /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. /// + /// + /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Interval( - string? startTime, - string? endTime) + string? endTime, + string? startTime) { - this.StartTime = startTime; this.EndTime = endTime; + this.StartTime = startTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index 6b112b840..d8960e0af 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCachedContentsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// List of cached contents. /// [global::System.Text.Json.Serialization.JsonPropertyName("cachedContents")] public global::System.Collections.Generic.IList? CachedContents { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCachedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// /// /// List of cached contents. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCachedContentsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? cachedContents) + global::System.Collections.Generic.IList? cachedContents, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.CachedContents = cachedContents; + this.NextPageToken = nextPageToken; } /// 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.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index ba86db665..35553f7f9 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("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; } - /// /// The standard List next-page token. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] + public global::System.Collections.Generic.IList? Unreachable { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ListOperationsResponse /// /// A list of operations that matches the specified filter in the request. /// - /// - /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. - /// /// /// The standard List next-page token. /// + /// + /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( global::System.Collections.Generic.IList? operations, - global::System.Collections.Generic.IList? unreachable, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? unreachable) { this.Operations = operations; - this.Unreachable = unreachable; this.NextPageToken = nextPageToken; + this.Unreachable = unreachable; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs index d4ed378bc..a07e2cf38 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListPermissionsResponse { - /// - /// Returned permissions. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("permissions")] - public global::System.Collections.Generic.IList? Permissions { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// Returned permissions. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("permissions")] + public global::System.Collections.Generic.IList? Permissions { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListPermissionsResponse /// /// Initializes a new instance of the class. /// - /// - /// Returned permissions. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// Returned permissions. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListPermissionsResponse( - global::System.Collections.Generic.IList? permissions, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? permissions) { - this.Permissions = permissions; this.NextPageToken = nextPageToken; + this.Permissions = permissions; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index d717cd002..7778671c6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs @@ -14,18 +14,18 @@ public sealed partial class LogprobsResult [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] public float? LogProbabilitySum { get; set; } - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] - public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } - /// /// Length = total number of decoding steps. /// [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] public global::System.Collections.Generic.IList? TopCandidates { get; set; } + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] + public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class LogprobsResult /// /// Sum of log probabilities for all tokens. /// - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// /// /// Length = total number of decoding steps. /// + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( float? logProbabilitySum, - global::System.Collections.Generic.IList? chosenCandidates, - global::System.Collections.Generic.IList? topCandidates) + global::System.Collections.Generic.IList? topCandidates, + global::System.Collections.Generic.IList? chosenCandidates) { this.LogProbabilitySum = logProbabilitySum; - this.ChosenCandidates = chosenCandidates; this.TopCandidates = topCandidates; + this.ChosenCandidates = chosenCandidates; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 5c9ddd1b0..4bd42faa4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class LogprobsResultCandidate { /// - /// The candidate’s token string value. + /// The candidate’s token id value. /// - [global::System.Text.Json.Serialization.JsonPropertyName("token")] - public string? Token { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] + public int? TokenId { get; set; } /// /// The candidate's log probability. @@ -21,10 +21,10 @@ public sealed partial class LogprobsResultCandidate public float? LogProbability { get; set; } /// - /// The candidate’s token id value. + /// The candidate’s token string value. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] - public int? TokenId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("token")] + public string? Token { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate’s token string value. + /// + /// The candidate’s token id value. /// /// /// The candidate's log probability. /// - /// - /// The candidate’s token id value. + /// + /// The candidate’s token string value. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - string? token, + int? tokenId, float? logProbability, - int? tokenId) + string? token) { - this.Token = token; - this.LogProbability = logProbability; this.TokenId = tokenId; + this.LogProbability = logProbability; + this.Token = token; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index 9de8d0554..5ae973792 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 { /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] - public string? PlaceId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Text description of the place answer. @@ -21,22 +21,22 @@ public sealed partial class Maps public string? Text { get; set; } /// - /// Title of the place. + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } /// - /// URI reference of the place. + /// Title of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] + public string? PlaceId { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// + /// URI reference of the place. /// /// /// Text description of the place answer. /// + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// /// /// Title of the place. /// - /// - /// URI reference of the place. - /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - string? placeId, + string? uri, string? text, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, string? title, - string? uri, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) + string? placeId) { - this.PlaceId = placeId; - this.Text = text; - this.Title = title; this.Uri = uri; + this.Text = text; this.PlaceAnswerSources = placeAnswerSources; + this.Title = title; + this.PlaceId = placeId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs index 55e603d10..40bc78986 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 @@ -9,46 +9,46 @@ namespace Google.Gemini public sealed partial class Model { /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { 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. + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// 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("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Maximum number of input tokens allowed for this model. + /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } /// - /// A short description of the model. + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { 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` + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { 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. @@ -57,34 +57,34 @@ public sealed partial class Model public int? TopK { get; set; } /// - /// Maximum number of output tokens available for this model. + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// 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("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// The maximum temperature this model can use. + /// 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("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Whether the model supports thinking. + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,76 +95,76 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` - /// - /// - /// The 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. + /// + /// Maximum number of output tokens available for this model. /// - /// - /// Maximum number of input tokens allowed for this model. + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// /// /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// A short description of the model. + /// + /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - /// - /// 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 maximum temperature this model can use. + /// + /// + /// Whether the model supports thinking. + /// + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// /// /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - /// - /// Maximum number of output tokens available for this model. + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// 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`. + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// The maximum temperature this model can use. + /// + /// 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` /// - /// - /// Whether the model supports thinking. + /// + /// Maximum number of input tokens allowed for this model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - string? baseModelId, - string? displayName, - float? temperature, - int? inputTokenLimit, - float? topP, - string? description, - string? name, - int? topK, int? outputTokenLimit, - string? version, global::System.Collections.Generic.IList? supportedGenerationMethods, + float? topP, + string? displayName, float? maxTemperature, - bool? thinking) + bool? thinking, + string? version, + int? topK, + string? baseModelId, + string? description, + float? temperature, + string? name, + int? inputTokenLimit) { - this.BaseModelId = baseModelId; - this.DisplayName = displayName; - this.Temperature = temperature; - this.InputTokenLimit = inputTokenLimit; - this.TopP = topP; - this.Description = description; - this.Name = name; - this.TopK = topK; this.OutputTokenLimit = outputTokenLimit; - this.Version = version; this.SupportedGenerationMethods = supportedGenerationMethods; + this.TopP = topP; + this.DisplayName = displayName; this.MaxTemperature = maxTemperature; this.Thinking = thinking; + this.Version = version; + this.TopK = topK; + this.BaseModelId = baseModelId; + this.Description = description; + this.Temperature = temperature; + this.Name = name; + this.InputTokenLimit = inputTokenLimit; } /// 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 0da3ec088..a6fc29b81 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { + /// + /// A message explaining the model status. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// The time at which the model will be retired. /// @@ -21,12 +27,6 @@ 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, - string? message) + global::Google.Gemini.ModelStatusModelStage? modelStage) { + 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 645e0f3a0..2c554ed80 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Operation { /// - /// 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}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } + [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. @@ -20,18 +20,18 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("done")] public bool? Done { get; set; } - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// 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; } + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// @@ -47,18 +47,18 @@ public sealed partial class Operation /// /// 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 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 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 normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// @@ -66,16 +66,16 @@ public sealed partial class Operation [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( - object? metadata, - bool? done, string? name, + bool? done, object? response, + object? metadata, global::Google.Gemini.Status? error) { - this.Metadata = metadata; - this.Done = done; this.Name = name; + this.Done = done; this.Response = response; + this.Metadata = metadata; this.Error = error; } 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 75ed50712..47d376725 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs @@ -11,16 +11,16 @@ namespace Google.Gemini public sealed partial class Part { /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { 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. + /// 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("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. @@ -29,10 +29,16 @@ public sealed partial class Part public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// 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("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// /// 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. @@ -40,6 +46,12 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] public object? PartMetadata { get; set; } + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + /// /// URI based data. /// @@ -53,22 +65,10 @@ public sealed partial class Part public bool? Thought { get; set; } /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } - - /// - /// Inline text. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } - - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// 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("inlineData")] - public global::Google.Gemini.Blob? InlineData { 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. @@ -78,16 +78,16 @@ public sealed partial class Part public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { get; set; } /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { 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. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. + /// + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// /// /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// - /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// /// /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// /// /// URI based data. /// /// /// Optional. Indicates if the part is thought from the model. /// + /// + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// /// /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// /// /// Inline text. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. - /// - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. - /// - /// - /// 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.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.ExecutableCode? executableCode, + global::Google.Gemini.Blob? inlineData, + global::Google.Gemini.FunctionResponse? functionResponse, global::Google.Gemini.ToolCall? toolCall, - global::Google.Gemini.ToolResponse? toolResponse, + global::Google.Gemini.FunctionCall? functionCall, + global::Google.Gemini.ExecutableCode? executableCode, object? partMetadata, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, global::Google.Gemini.FileData? fileData, bool? thought, + global::Google.Gemini.ToolResponse? toolResponse, byte[]? thoughtSignature, - string? text, - global::Google.Gemini.Blob? inlineData, - global::Google.Gemini.FunctionCall? functionCall, - global::Google.Gemini.FunctionResponse? functionResponse) + string? text) { - this.CodeExecutionResult = codeExecutionResult; - this.ExecutableCode = executableCode; + this.InlineData = inlineData; + this.FunctionResponse = functionResponse; this.ToolCall = toolCall; - this.ToolResponse = toolResponse; + this.FunctionCall = functionCall; + this.ExecutableCode = executableCode; this.PartMetadata = partMetadata; + this.CodeExecutionResult = codeExecutionResult; this.FileData = fileData; this.Thought = thought; + this.ToolResponse = toolResponse; this.ThoughtSignature = thoughtSignature; this.Text = text; - this.InlineData = inlineData; - this.FunctionCall = functionCall; - 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 90108d5d1..44d30913f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs @@ -9,17 +9,17 @@ namespace Google.Gemini public sealed partial class Permission { /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] - public string? EmailAddress { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. Immutable. The type of the grantee. + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - [global::System.Text.Json.Serialization.JsonPropertyName("granteeType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] - public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } /// /// Required. The role granted by this permission. @@ -29,11 +29,11 @@ public sealed partial class Permission public global::Google.Gemini.PermissionRole? Role { get; set; } /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses + /// Optional. Immutable. The type of the grantee. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("granteeType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] + public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -44,32 +44,32 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// + /// + /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
+ /// Included only in responses + /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses + /// + /// Optional. Immutable. The type of the grantee. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( + string? name, string? emailAddress, - global::Google.Gemini.PermissionGranteeType? granteeType, global::Google.Gemini.PermissionRole? role, - string? name) + global::Google.Gemini.PermissionGranteeType? granteeType) { + this.Name = name; this.EmailAddress = emailAddress; - this.GranteeType = granteeType; this.Role = role; - this.Name = name; + this.GranteeType = granteeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs index f7e526d8a..458cc7a70 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class PromptFeedback { - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } - /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// @@ -21,6 +15,12 @@ public sealed partial class PromptFeedback [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter))] public global::Google.Gemini.PromptFeedbackBlockReason? BlockReason { get; set; } + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class PromptFeedback /// /// Initializes a new instance of the class. /// - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public PromptFeedback( - global::System.Collections.Generic.IList? safetyRatings, - global::Google.Gemini.PromptFeedbackBlockReason? blockReason) + global::Google.Gemini.PromptFeedbackBlockReason? blockReason, + global::System.Collections.Generic.IList? safetyRatings) { - this.SafetyRatings = safetyRatings; this.BlockReason = blockReason; + this.SafetyRatings = safetyRatings; } /// 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 bdd661acf..50bc1a76a 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 @@ -14,24 +14,6 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } - - /// - /// Optional. User-provided metadata about the retrieved context. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - - /// - /// Optional. Title of the document. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// Optional. Text of the chunk. /// @@ -44,12 +26,30 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] public int? PageNumber { 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. Title of the document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + + /// + /// Optional. User-provided metadata about the retrieved context. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -62,43 +62,43 @@ public sealed partial class RetrievedContext /// /// Optional. URI reference of the semantic retrieval document. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` - /// - /// - /// Optional. User-provided metadata about the retrieved context. - /// - /// - /// Optional. Title of the document. - /// /// /// Optional. Text of the chunk. /// /// /// Optional. Page number of the retrieved context, if applicable. /// + /// + /// 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. Title of the document. + /// + /// + /// Optional. User-provided metadata about the retrieved context. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( string? uri, - string? fileSearchStore, - global::System.Collections.Generic.IList? customMetadata, - string? title, string? text, int? pageNumber, - string? mediaId) + string? fileSearchStore, + string? mediaId, + string? title, + global::System.Collections.Generic.IList? customMetadata) { this.Uri = uri; - this.FileSearchStore = fileSearchStore; - this.CustomMetadata = customMetadata; - this.Title = title; this.Text = text; this.PageNumber = pageNumber; + this.FileSearchStore = fileSearchStore; this.MediaId = mediaId; + this.Title = title; + this.CustomMetadata = customMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs index dcbe94b62..550780da3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs @@ -14,18 +14,18 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] public string? ReviewId { get; set; } - /// - /// Title of the review. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// A link that corresponds to the user review on Google Maps. /// [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsUri")] public string? GoogleMapsUri { get; set; } + /// + /// 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 /// @@ -38,23 +38,23 @@ public sealed partial class ReviewSnippet /// /// The ID of the review snippet. /// - /// - /// Title of the review. - /// /// /// A link that corresponds to the user review on Google Maps. /// + /// + /// Title of the review. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( string? reviewId, - string? title, - string? googleMapsUri) + string? googleMapsUri, + string? title) { this.ReviewId = reviewId; - this.Title = title; this.GoogleMapsUri = googleMapsUri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index d173960d9..1575df9d2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class SafetyRating { + /// + /// Was this content blocked because of this rating? + /// + [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] + public bool? Blocked { get; set; } + /// /// Required. The category for this rating. /// @@ -22,12 +28,6 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } - /// - /// Was this content blocked because of this rating? - /// - [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] - public bool? Blocked { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -37,26 +37,26 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// + /// + /// Was this content blocked because of this rating? + /// /// /// Required. The category for this rating. /// /// /// Required. The probability of harm for this content. /// - /// - /// Was this content blocked because of this rating? - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( + bool? blocked, global::Google.Gemini.SafetyRatingCategory? category, - global::Google.Gemini.SafetyRatingProbability? probability, - bool? blocked) + global::Google.Gemini.SafetyRatingProbability? probability) { + this.Blocked = blocked; this.Category = category; this.Probability = probability; - this.Blocked = blocked; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs index 77c5a29f5..ba09cc052 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetySetting { - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] - public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } - /// /// Required. The category for this setting. /// @@ -22,6 +15,13 @@ public sealed partial class SafetySetting [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] public global::Google.Gemini.SafetySettingCategory? Category { get; set; } + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] + public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -31,21 +31,21 @@ public sealed partial class SafetySetting /// /// Initializes a new instance of the class. /// - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// /// /// Required. The category for this setting. /// + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetySetting( - global::Google.Gemini.SafetySettingThreshold? threshold, - global::Google.Gemini.SafetySettingCategory? category) + global::Google.Gemini.SafetySettingCategory? category, + global::Google.Gemini.SafetySettingThreshold? threshold) { - this.Threshold = threshold; this.Category = category; + this.Threshold = threshold; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index 96f07016a..ee03b3bce 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 @@ -8,18 +8,30 @@ namespace Google.Gemini /// public sealed partial class Schema { - /// - /// 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; } - /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// [global::System.Text.Json.Serialization.JsonPropertyName("items")] public global::Google.Gemini.Schema? Items { get; set; } + /// + /// Optional. 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. Maximum number of the properties for Type.OBJECT. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } + + /// + /// Optional. Minimum number of the properties for Type.OBJECT. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } + /// /// Optional. Minimum number of the elements for Type.ARRAY. /// @@ -33,28 +45,28 @@ public sealed partial class Schema public string? Pattern { get; set; } /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Optional. The title of the schema. + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// - /// Optional. Indicates if the value may be null. + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// /// Optional. Properties of Type.OBJECT. @@ -63,10 +75,10 @@ public sealed partial class Schema public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} @@ -75,40 +87,29 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? Enum { 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. - /// - [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. 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. Minimum number of the properties for Type.OBJECT. + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("type")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] + public global::Google.Gemini.SchemaType? Type { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER @@ -123,17 +124,10 @@ public sealed partial class Schema public string? Description { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } - - /// - /// Required. Data type. + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("type")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] - public global::Google.Gemini.SchemaType? Type { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } /// /// Optional. Maximum length of the Type.STRING @@ -141,6 +135,12 @@ public sealed partial class Schema [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] public string? MaxLength { get; set; } + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -150,121 +150,121 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. - /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// + /// + /// Optional. Maximum number of the properties for Type.OBJECT. + /// + /// + /// Optional. Minimum number of the properties for Type.OBJECT. + /// /// /// Optional. Minimum number of the elements for Type.ARRAY. /// /// /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - /// - /// Optional. The title of the schema. + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// + /// Optional. Example of the object. Will only populated when the object is the root. /// - /// - /// Optional. Indicates if the value may be null. + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// /// /// Optional. Properties of Type.OBJECT. /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// /// /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - /// - /// Optional. 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. Maximum number of the elements for Type.ARRAY. - /// - /// - /// Optional. Minimum 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. Required properties of Type.OBJECT. /// + /// + /// Required. Data type. + /// + /// + /// Optional. The title of the schema. + /// /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. - /// - /// - /// Required. Data type. + /// + /// Optional. Maximum number of the elements for Type.ARRAY. /// /// /// Optional. Maximum length of the Type.STRING /// + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - string? format, global::Google.Gemini.Schema? items, + global::System.Collections.Generic.IList? propertyOrdering, + string? maxProperties, + string? minProperties, string? minItems, string? pattern, + global::System.Collections.Generic.IList? anyOf, + double? maximum, object? example, - string? title, - string? maxProperties, - bool? nullable, + string? format, global::System.Collections.Generic.Dictionary? properties, - double? maximum, - global::System.Collections.Generic.IList? @enum, - object? @default, - global::System.Collections.Generic.IList? propertyOrdering, - string? maxItems, - string? minProperties, string? minLength, + global::System.Collections.Generic.IList? @enum, + bool? nullable, global::System.Collections.Generic.IList? required, + global::Google.Gemini.SchemaType? type, + string? title, double? minimum, string? description, - global::System.Collections.Generic.IList? anyOf, - global::Google.Gemini.SchemaType? type, - string? maxLength) + string? maxItems, + string? maxLength, + object? @default) { - this.Format = format; this.Items = items; + this.PropertyOrdering = propertyOrdering; + this.MaxProperties = maxProperties; + this.MinProperties = minProperties; this.MinItems = minItems; this.Pattern = pattern; + this.AnyOf = anyOf; + this.Maximum = maximum; this.Example = example; - this.Title = title; - this.MaxProperties = maxProperties; - this.Nullable = nullable; + this.Format = format; this.Properties = properties; - this.Maximum = maximum; - this.Enum = @enum; - this.Default = @default; - this.PropertyOrdering = propertyOrdering; - this.MaxItems = maxItems; - this.MinProperties = minProperties; this.MinLength = minLength; + this.Enum = @enum; + this.Nullable = nullable; this.Required = required; + this.Type = type; + this.Title = title; this.Minimum = minimum; this.Description = description; - this.AnyOf = anyOf; - this.Type = type; + this.MaxItems = maxItems; this.MaxLength = maxLength; + this.Default = @default; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs index 1bf661d7f..5b7ed61e6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SearchTypes { - /// - /// Standard web search for grounding and related configurations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearch")] - public global::Google.Gemini.WebSearch? WebSearch { get; set; } - /// /// Image search for grounding and related configurations. /// [global::System.Text.Json.Serialization.JsonPropertyName("imageSearch")] public global::Google.Gemini.ImageSearch? ImageSearch { get; set; } + /// + /// Standard web search for grounding and related configurations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("webSearch")] + public global::Google.Gemini.WebSearch? WebSearch { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SearchTypes /// /// Initializes a new instance of the class. /// - /// - /// Standard web search for grounding and related configurations. - /// /// /// Image search for grounding and related configurations. /// + /// + /// Standard web search for grounding and related configurations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchTypes( - global::Google.Gemini.WebSearch? webSearch, - global::Google.Gemini.ImageSearch? imageSearch) + global::Google.Gemini.ImageSearch? imageSearch, + global::Google.Gemini.WebSearch? webSearch) { - this.WebSearch = webSearch; this.ImageSearch = imageSearch; + this.WebSearch = webSearch; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs index 24d94e406..45f30e57d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class SemanticRetrieverChunk { /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - public string? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] + public string? Chunk { get; set; } /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] - public string? Chunk { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + public string? Source { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class SemanticRetrieverChunk /// /// Initializes a new instance of the class. /// - /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
- /// Included only in responses - /// /// /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// + /// + /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SemanticRetrieverChunk( - string? source, - string? chunk) + string? chunk, + string? source) { - this.Source = source; this.Chunk = chunk; + this.Source = source; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index bef80e26e..44773a7b2 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class SpeechConfig { /// - /// The configuration for the voice to use. + /// The configuration for the multi-speaker setup. /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] + public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. @@ -21,10 +21,10 @@ public sealed partial class SpeechConfig public string? LanguageCode { get; set; } /// - /// The configuration for the multi-speaker setup. + /// The configuration for the voice to use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] - public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the voice to use. + /// + /// The configuration for the multi-speaker setup. /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// - /// - /// The configuration for the multi-speaker setup. + /// + /// The configuration for the voice to use. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( - global::Google.Gemini.VoiceConfig? voiceConfig, + global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, string? languageCode, - global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) + global::Google.Gemini.VoiceConfig? voiceConfig) { - this.VoiceConfig = voiceConfig; - this.LanguageCode = languageCode; this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; + this.LanguageCode = languageCode; + this.VoiceConfig = voiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index 7f09920ee..7afcb1083 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Status { - /// - /// The status code, which should be an enum value of google.rpc.Code. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public int? Code { get; set; } - /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// [global::System.Text.Json.Serialization.JsonPropertyName("details")] public global::System.Collections.Generic.IList? Details { get; set; } + /// + /// The status code, which should be an enum value of google.rpc.Code. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("code")] + public int? Code { get; set; } + /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// @@ -35,12 +35,12 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// - /// - /// The status code, which should be an enum value of google.rpc.Code. - /// /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// + /// + /// The status code, which should be an enum value of google.rpc.Code. + /// /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// @@ -48,12 +48,12 @@ public sealed partial class Status [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( - int? code, global::System.Collections.Generic.IList? details, + int? code, string? message) { - this.Code = code; this.Details = details; + this.Code = code; this.Message = message; } 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 34ec7a399..4d428579f 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 @@ -9,22 +9,22 @@ namespace Google.Gemini public sealed partial class StreamableHttpTransport { /// - /// Timeout for SSE read operations. + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// - [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] - public string? SseReadTimeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("url")] + public string? Url { get; set; } /// - /// Whether to close the client session when the transport closes. + /// HTTP timeout for regular operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] - public bool? TerminateOnClose { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] + public string? Timeout { get; set; } /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// Timeout for SSE read operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("url")] - public string? Url { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] + public string? SseReadTimeout { get; set; } /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. @@ -33,10 +33,10 @@ public sealed partial class StreamableHttpTransport public global::System.Collections.Generic.Dictionary? Headers { get; set; } /// - /// HTTP timeout for regular operations. + /// Whether to close the client session when the transport closes. /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] - public string? Timeout { get; set; } + [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. /// - /// - /// Timeout for SSE read operations. - /// - /// - /// Whether to close the client session when the transport closes. - /// /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// + /// + /// HTTP timeout for regular operations. + /// + /// + /// Timeout for SSE read operations. + /// /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// - /// - /// HTTP timeout for regular operations. + /// + /// Whether to close the client session when the transport closes. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - string? sseReadTimeout, - bool? terminateOnClose, string? url, + string? timeout, + string? sseReadTimeout, global::System.Collections.Generic.Dictionary? headers, - string? timeout) + bool? terminateOnClose) { - this.SseReadTimeout = sseReadTimeout; - this.TerminateOnClose = terminateOnClose; this.Url = url; - this.Headers = headers; this.Timeout = timeout; + this.SseReadTimeout = sseReadTimeout; + this.Headers = headers; + 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 5e903db23..7319e7759 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class ThinkingConfig { + /// + /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingLevel")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] + public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } + /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// @@ -20,13 +27,6 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] public int? ThinkingBudget { get; set; } - /// - /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingLevel")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] - public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ThinkingConfig /// /// Initializes a new instance of the class. /// + /// + /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. + /// /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// /// /// The number of thoughts tokens that the model should generate. /// - /// - /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, bool? includeThoughts, - int? thinkingBudget, - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) + int? thinkingBudget) { + this.ThinkingLevel = thinkingLevel; this.IncludeThoughts = includeThoughts; this.ThinkingBudget = thinkingBudget; - this.ThinkingLevel = thinkingLevel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs index 609223691..fc72be15e 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 +9,22 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// Optional. MCP Servers to connect to. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] + public global::System.Collections.Generic.IList? McpServers { get; set; } /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// Tool to support URL context retrieval. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// - /// Optional. MCP Servers to connect to. + /// Computer Use tool type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] - public global::System.Collections.Generic.IList? McpServers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } /// /// Tool to retrieve public web data for grounding, powered by Google. @@ -33,10 +33,16 @@ public sealed partial class Tool public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } + + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } /// /// 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. @@ -51,16 +57,10 @@ public sealed partial class Tool public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } /// - /// Computer Use tool type. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } - - /// - /// Tool to support URL context retrieval. + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] - public global::Google.Gemini.UrlContext? UrlContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,20 +71,23 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. - /// /// /// Optional. MCP Servers to connect to. /// + /// + /// Tool to support URL context retrieval. + /// + /// + /// Computer Use tool type. + /// /// /// Tool to retrieve public web data for grounding, powered by Google. /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// /// /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. @@ -92,35 +95,32 @@ public sealed partial class Tool /// /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// - /// - /// Computer Use tool type. - /// - /// - /// Tool to support URL context retrieval. + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.GoogleSearch? googleSearch, - global::Google.Gemini.FileSearch? fileSearch, global::System.Collections.Generic.IList? mcpServers, + global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.ComputerUse? computerUse, global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.GoogleMaps? googleMaps, + global::Google.Gemini.FileSearch? fileSearch, + global::Google.Gemini.GoogleSearch? googleSearch, global::System.Collections.Generic.IList? functionDeclarations, global::Google.Gemini.CodeExecution? codeExecution, - global::Google.Gemini.ComputerUse? computerUse, - global::Google.Gemini.UrlContext? urlContext) + global::Google.Gemini.GoogleMaps? googleMaps) { - this.GoogleSearch = googleSearch; - this.FileSearch = fileSearch; this.McpServers = mcpServers; + this.UrlContext = urlContext; + this.ComputerUse = computerUse; this.GoogleSearchRetrieval = googleSearchRetrieval; - this.GoogleMaps = googleMaps; + this.FileSearch = fileSearch; + this.GoogleSearch = googleSearch; this.FunctionDeclarations = functionDeclarations; this.CodeExecution = codeExecution; - this.ComputerUse = computerUse; - this.UrlContext = urlContext; + this.GoogleMaps = googleMaps; } /// 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..78771bbcf 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 @@ -14,18 +14,18 @@ public sealed partial class ToolConfig [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] - public bool? IncludeServerSideToolInvocations { get; set; } - /// /// Retrieval config. /// [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] + public bool? IncludeServerSideToolInvocations { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ToolConfig /// /// Configuration for specifying function calling behavior. /// - /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. - /// /// /// Retrieval config. /// + /// + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - bool? includeServerSideToolInvocations, - global::Google.Gemini.RetrievalConfig? retrievalConfig) + global::Google.Gemini.RetrievalConfig? retrievalConfig, + bool? includeServerSideToolInvocations) { this.FunctionCallingConfig = functionCallingConfig; - this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; this.RetrievalConfig = retrievalConfig; + this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index 4d394f8f1..59e7c8c51 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class TunedModel { + /// + /// Optional. A short description of this model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } + /// /// Tuned model as a source for training a new model. /// @@ -15,16 +21,17 @@ public sealed partial class TunedModel public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Optional. List of project numbers that have read access to 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("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { 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` + /// 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("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// /// Output only. The timestamp when this model was created.
@@ -34,16 +41,10 @@ public sealed partial class TunedModel public string? CreateTime { 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; } - - /// - /// Tuning tasks that create tuned models. + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The state of the tuned model.
@@ -54,42 +55,41 @@ public sealed partial class TunedModel public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses + /// Optional. List of project numbers that have read access to the tuned model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses + /// Tuning tasks that create tuned models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { get; set; } /// - /// Optional. A short description of this model. + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -100,80 +100,80 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// + /// + /// Optional. A short description of this model. + /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. List of project numbers that have read access to 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` + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Output only. The timestamp when this model was created.
/// Included only in responses /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// /// /// Output only. The state of the tuned model.
/// Included only in responses /// - /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses + /// + /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses + /// + /// Tuning tasks that create tuned models. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. A short description of this model. + /// + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( + string? description, global::Google.Gemini.TunedModelSource? tunedModelSource, - global::System.Collections.Generic.IList? readerProjectNumbers, - string? baseModel, - string? createTime, - int? topK, - global::Google.Gemini.TuningTask? tuningTask, - global::Google.Gemini.TunedModelState? state, - string? updateTime, + string? name, float? temperature, + string? createTime, string? displayName, - string? name, + global::Google.Gemini.TunedModelState? state, + global::System.Collections.Generic.IList? readerProjectNumbers, float? topP, - string? description) + int? topK, + global::Google.Gemini.TuningTask? tuningTask, + string? baseModel, + string? updateTime) { + this.Description = description; this.TunedModelSource = tunedModelSource; - this.ReaderProjectNumbers = readerProjectNumbers; - this.BaseModel = baseModel; + this.Name = name; + this.Temperature = temperature; this.CreateTime = createTime; + this.DisplayName = displayName; + this.State = state; + this.ReaderProjectNumbers = readerProjectNumbers; + this.TopP = topP; this.TopK = topK; this.TuningTask = tuningTask; - this.State = state; + this.BaseModel = baseModel; this.UpdateTime = updateTime; - this.Temperature = temperature; - this.DisplayName = displayName; - this.Name = name; - this.TopP = topP; - this.Description = description; } /// 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 60c4281a2..6cbfd5b00 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 @@ -9,32 +9,32 @@ namespace Google.Gemini public sealed partial class TuningSnapshot { /// - /// Output only. The mean loss of the training examples for this step.
+ /// Output only. The tuning step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] - public float? MeanLoss { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("step")] + public int? Step { get; set; } /// - /// Output only. The timestamp when this metric was computed.
+ /// Output only. The epoch this step was part of.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] - public string? ComputeTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { get; set; } /// - /// Output only. The epoch this step was part of.
+ /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] + public float? MeanLoss { get; set; } /// - /// Output only. The tuning step.
+ /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("step")] - public int? Step { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The mean loss of the training examples for this step.
- /// Included only in responses - /// - /// - /// Output only. The timestamp when this metric was computed.
+ /// + /// Output only. The tuning step.
/// Included only in responses /// /// /// Output only. The epoch this step was part of.
/// Included only in responses /// - /// - /// Output only. The tuning step.
+ /// + /// Output only. The mean loss of the training examples for this step.
+ /// Included only in responses + /// + /// + /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - float? meanLoss, - string? computeTime, + int? step, int? epoch, - int? step) + float? meanLoss, + string? computeTime) { + this.Step = step; + this.Epoch = epoch; this.MeanLoss = meanLoss; this.ComputeTime = computeTime; - this.Epoch = epoch; - this.Step = step; } /// 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 aa6ec433c..e6cc8f90a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs @@ -9,17 +9,10 @@ namespace Google.Gemini public sealed partial class TuningTask { /// - /// 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; } - - /// - /// 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. The timestamp when tuning this model started.
@@ -28,6 +21,12 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] public string? StartTime { get; set; } + /// + /// 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. Metrics collected during tuning.
/// Included only in responses @@ -36,10 +35,11 @@ public sealed partial class TuningTask public global::System.Collections.Generic.IList? Snapshots { 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; } /// /// 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. /// - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses - /// - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// + /// Dataset for training or validation. /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// + /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// /// /// Output only. Metrics collected during tuning.
/// Included only in responses /// - /// - /// Dataset for training or validation. + /// + /// 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( - string? completeTime, - global::Google.Gemini.Hyperparameters? hyperparameters, + global::Google.Gemini.Dataset? trainingData, string? startTime, + global::Google.Gemini.Hyperparameters? hyperparameters, global::System.Collections.Generic.IList? snapshots, - global::Google.Gemini.Dataset? trainingData) + string? completeTime) { - this.CompleteTime = completeTime; - this.Hyperparameters = hyperparameters; + this.TrainingData = trainingData; this.StartTime = startTime; + this.Hyperparameters = hyperparameters; this.Snapshots = snapshots; - this.TrainingData = trainingData; + this.CompleteTime = completeTime; } /// 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 c00e39aad..25e28bea6 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 @@ -9,17 +9,17 @@ namespace Google.Gemini public sealed partial class UsageMetadata { /// - /// Output only. List of modalities of the cached content in the request input.
+ /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Number of tokens in the cached part of the prompt (the cached content) /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. List of modalities that were processed in the request input.
@@ -28,12 +28,6 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } - /// - /// Total token count for the generation request (prompt + response candidates). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { 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. /// @@ -41,25 +35,23 @@ public sealed partial class UsageMetadata public int? PromptTokenCount { get; set; } /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses + /// Total token count for the generation request (prompt + response candidates). /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses + /// Total number of tokens across all the generated response candidates. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] - public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// /// Output only. Number of tokens of thoughts for thinking models.
@@ -69,10 +61,18 @@ public sealed partial class UsageMetadata public int? ThoughtsTokenCount { get; set; } /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + + /// + /// 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; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -97,41 +97,41 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities of the cached content in the request input.
+ /// + /// 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. + /// + /// Number of tokens in the cached part of the prompt (the cached content) /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Total token count for the generation request (prompt + response candidates). - /// /// /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - /// - /// Output only. Number of tokens present in tool-use prompt(s).
- /// Included only in responses - /// - /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses - /// /// /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// + /// + /// Total token count for the generation request (prompt + response candidates). + /// + /// + /// Total number of tokens across all the generated response candidates. + /// /// /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses + /// + /// + /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Included only in responses /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -145,29 +145,29 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - global::System.Collections.Generic.IList? cacheTokensDetails, - int? candidatesTokenCount, + global::System.Collections.Generic.IList? candidatesTokensDetails, + int? cachedContentTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - int? totalTokenCount, int? promptTokenCount, - int? toolUsePromptTokenCount, - global::System.Collections.Generic.IList? candidatesTokensDetails, global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + int? totalTokenCount, + int? candidatesTokenCount, int? thoughtsTokenCount, - int? cachedContentTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, + int? toolUsePromptTokenCount, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.CacheTokensDetails = cacheTokensDetails; - this.CandidatesTokenCount = candidatesTokenCount; + this.CandidatesTokensDetails = candidatesTokensDetails; + this.CachedContentTokenCount = cachedContentTokenCount; this.PromptTokensDetails = promptTokensDetails; - this.TotalTokenCount = totalTokenCount; this.PromptTokenCount = promptTokenCount; - this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.CandidatesTokensDetails = candidatesTokensDetails; this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.TotalTokenCount = totalTokenCount; + this.CandidatesTokenCount = candidatesTokenCount; this.ThoughtsTokenCount = thoughtsTokenCount; - this.CachedContentTokenCount = cachedContentTokenCount; + this.CacheTokensDetails = cacheTokensDetails; + this.ToolUsePromptTokenCount = toolUsePromptTokenCount; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index ee0d87dc7..e122173e5 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,29 +11,38 @@ } ], "paths": { - "/batches/{batchesId}:cancel": { + "/dynamic/{dynamicId}:generateContent": { "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 model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "batchesId", + "name": "dynamicId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -41,28 +50,19 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/dynamic/{dynamicId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "batchesId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^dynamic/[^/]+$" } } ], @@ -70,7 +70,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -81,7 +81,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -89,23 +94,15 @@ } } }, - "/batches": { + "/generatedFiles": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { "type": "integer", "format": "int32" @@ -114,18 +111,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -134,7 +123,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } @@ -142,188 +131,37 @@ } } }, - "/batches/{batchesId}": { + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - }, - "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" - } - } - } - } - } - } - }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "operationId": "generatedFiles.operations.get", "parameters": [ { - "name": "batchesId", + "name": "operationsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - } - } - } - }, - "/dynamic/{dynamicId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", - "parameters": [ - { - "name": "dynamicId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^dynamic/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } - } - } - } - } - }, - "/dynamic/{dynamicId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "dynamic.streamGenerateContent", - "parameters": [ - { - "name": "dynamicId", + "name": "generatedFilesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -459,44 +297,6 @@ } } }, - "/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": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, "/corpora/{corporaId}/permissions/{permissionsId}": { "patch": { "description": "Updates the permission.", @@ -709,26 +509,27 @@ } } }, - "/files": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -738,21 +539,23 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/files:register": { "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/RegisterFilesRequest" } } } @@ -763,7 +566,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } @@ -771,34 +574,35 @@ } } }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" - } + "/files/{filesId}": { + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", + "parameters": [ + { + "name": "filesId", + "in": "path", + "required": true, + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "schema": { + "type": "string", + "pattern": "^files/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/files/{filesId}": { + }, "get": { "description": "Gets the metadata for the given `File`.", "operationId": "files.get", @@ -826,19 +630,28 @@ } } } - }, - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + } + }, + "/files": { + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "filesId", - "in": "path", - "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "string", - "pattern": "^files/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", + "schema": { + "type": "string" } } ], @@ -848,7 +661,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListFilesResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -856,19 +694,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { + "/tunedModels/{tunedModelsId}": { "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -878,7 +716,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/TunedModel" } } } @@ -886,25 +724,17 @@ } }, "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "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 model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -920,52 +750,36 @@ } } } - } - }, - "/fileSearchStores": { - "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + }, + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" - } - } - } - } - } - }, - "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/TunedModel" } } } @@ -976,7 +790,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/TunedModel" } } } @@ -984,19 +798,17 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { + "/tunedModels": { "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "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": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "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": "^fileSearchStores/[^/]+$" + "type": "string" } } ], @@ -1004,7 +816,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1021,29 +833,34 @@ } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + }, "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { "type": "string" } }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "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" } } ], @@ -1053,7 +870,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } @@ -1061,37 +878,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "/tunedModels/{tunedModelsId}:transferOwnership": { + "post": { + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TransferOwnershipRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -1099,81 +917,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "documentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Document" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } - } - }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -1181,46 +956,43 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "/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": "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": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1228,64 +1000,66 @@ } } }, - "/tunedModels/{tunedModelsId}": { - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + } + }, + "/tunedModels/{tunedModelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { "name": "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" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1296,25 +1070,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + } + }, + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string" + } + }, + { + "name": "operationsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -1324,7 +1108,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -1332,23 +1116,33 @@ } } }, - "/tunedModels": { + "/tunedModels/{tunedModelsId}/operations": { "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "tunedModels.operations.list", "parameters": [ { "name": "filter", "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", + "description": "The standard list filter.", "schema": { "type": "string" } }, + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -1357,10 +1151,18 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" + } } ], "responses": { @@ -1369,23 +1171,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}/permissions": { "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", + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { - "name": "tunedModelId", - "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1393,7 +1199,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Permission" } } } @@ -1404,46 +1210,52 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + }, + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -1451,63 +1263,72 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$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" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1515,7 +1336,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1526,46 +1347,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -1573,19 +1391,28 @@ } } }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1593,7 +1420,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -1604,7 +1431,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -1612,65 +1439,123 @@ } } }, - "/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", + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^batches/[^/]+$" } }, { - "name": "operationsId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "format": "google-fieldmask" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } } } } } } }, - "/tunedModels/{tunedModelsId}/operations": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "/batches/{batchesId}": { + "delete": { + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource to be deleted.", "schema": { - "type": "string" + "type": "string", + "pattern": "^batches/[^/]+$" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + }, + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", + "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/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": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" } }, { @@ -1713,27 +1598,19 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "/batches/{batchesId}:cancel": { + "post": { + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -1743,33 +1620,34 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + } + }, + "/cachedContents": { + "get": { + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, + "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" + "type": "integer", + "format": "int32" } }, { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "name": "pageToken", + "in": "query", + "description": "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", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "type": "string" } } ], @@ -1779,50 +1657,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } } } }, - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", - "schema": { - "type": "string", - "format": "google-fieldmask" - } - } - ], + "post": { + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1833,7 +1682,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1841,36 +1690,19 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { + "/cachedContents/{cachedContentsId}": { "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", - "schema": { - "type": "string" - } - }, - { - "name": "tunedModelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -1880,25 +1712,34 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } }, - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "tunedModelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^cachedContents/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1906,7 +1747,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1917,46 +1758,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/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 CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "fileSearchStoresId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/Empty" } } } @@ -1964,16 +1794,16 @@ } } }, - "/models/{modelsId}:countTokens": { + "/models/{modelsId}:batchGenerateContent": { "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -1984,7 +1814,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -1995,7 +1825,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2003,16 +1833,53 @@ } } }, - "/models/{modelsId}:generateContent": { + "/models": { + "get": { + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListModelsResponse" + } + } + } + } + } + } + }, + "/models/{modelsId}:batchEmbedContents": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -2023,7 +1890,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/BatchEmbedContentsRequest" } } } @@ -2034,7 +1901,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -2042,10 +1909,10 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { + "/models/{modelsId}:asyncBatchEmbedContent": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "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", @@ -2062,7 +1929,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -2081,10 +1948,40 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { + "/models/{modelsId}": { + "get": { + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", + "parameters": [ + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Model" + } + } + } + } + } + } + }, + "/models/{modelsId}:countTokens": { "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", "parameters": [ { "name": "modelsId", @@ -2101,7 +1998,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/CountTokensRequest" } } } @@ -2112,7 +2009,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -2120,16 +2017,16 @@ } } }, - "/models/{modelsId}:embedContent": { + "/models/{modelsId}: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": "models.generateContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -2140,7 +2037,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2151,7 +2048,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2203,16 +2100,16 @@ } } }, - "/models/{modelsId}:asyncBatchEmbedContent": { + "/models/{modelsId}:embedContent": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -2223,7 +2120,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -2234,7 +2131,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -2242,56 +2139,27 @@ } } }, - "/models": { + "/models/{modelsId}/operations/{operationsId}": { "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Gets 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": "pageSize", - "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { "type": "string" } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListModelsResponse" - } - } - } - } - } - } - }, - "/models/{modelsId}": { - "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", - "parameters": [ + }, { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], @@ -2301,7 +2169,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Operation" } } } @@ -2372,37 +2240,38 @@ } } }, - "/models/{modelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "post": { + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -2410,26 +2279,27 @@ } } }, - "/generatedFiles": { - "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "/fileSearchStores/{fileSearchStoresId}": { + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "pageSize", + "name": "force", "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "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": "integer", - "format": "int32" + "type": "boolean" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2439,38 +2309,129 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + }, "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "operationsId", + "name": "fileSearchStoresId", "in": "path", "required": true, + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + } + } + } + }, + "/fileSearchStores": { + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + } + } + }, + "get": { + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", + "schema": { + "type": "integer", + "format": "int32" } }, { - "name": "generatedFilesId", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListFileSearchStoresResponse" + } + } + } + } + } + } + }, + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", + "parameters": [ + { + "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": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ImportFileRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -2485,19 +2446,27 @@ } } }, - "/cachedContents/{cachedContentsId}": { + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "cachedContentsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -2507,25 +2476,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "cachedContentsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "schema": { + "type": "string" + } + }, + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -2542,46 +2529,36 @@ } } }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "cachedContentsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", + "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", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Document" } } } @@ -2589,15 +2566,15 @@ } } }, - "/cachedContents": { + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.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 `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" @@ -2606,10 +2583,20 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } } ], "responses": { @@ -2618,32 +2605,45 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } } } - }, - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } + } + }, + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", + "parameters": [ + { + "name": "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/[^/]+/upload/operations/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Operation" } } } @@ -2654,174 +2654,208 @@ }, "components": { "schemas": { - "Schema": { - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", + "GoogleAiGenerativelanguageV1betaGroundingSupport": { "type": "object", + "description": "Grounding support.", "properties": { - "format": { - "type": "string", - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." - }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" - }, - "minItems": { - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "type": "string", - "format": "int64" - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" - }, - "maxProperties": { - "format": "int64", - "type": "string", - "description": "Optional. Maximum number of the properties for Type.OBJECT." + "groundingChunkIndices": { + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "items": { + "format": "int32", + "type": "integer" + }, + "type": "array" }, - "nullable": { - "type": "boolean", - "description": "Optional. Indicates if the value may be null." + "segment": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment", + "description": "Segment of the content this support belongs to." }, - "properties": { - "type": "object", - "description": "Optional. Properties of Type.OBJECT.", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" + "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", + "readOnly": true, + "items": { + "format": "int32", + "type": "integer" } }, - "maximum": { - "format": "double", - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number" - }, - "enum": { + "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", - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", "items": { - "type": "string" + "format": "float", + "type": "number" } - }, - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." - }, - "propertyOrdering": { + } + } + }, + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", + "properties": { + "uris": { + "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" + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`." + } + }, + "type": "object" + }, + "Image": { + "type": "object", + "description": "Chunk from image search.", + "properties": { + "imageUri": { + "description": "The image asset URL.", + "type": "string" }, - "maxItems": { - "format": "int64", - "type": "string", - "description": "Optional. Maximum number of the elements for Type.ARRAY." + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" }, - "minProperties": { - "format": "int64", + "sourceUri": { "type": "string", - "description": "Optional. Minimum number of the properties for Type.OBJECT." + "description": "The web page URI for attribution." }, - "minLength": { - "format": "int64", + "title": { "type": "string", - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING" - }, - "required": { + "description": "The title of the web page that the image is from." + } + } + }, + "PlaceAnswerSources": { + "type": "object", + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", + "properties": { + "reviewSnippets": { + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "type": "array", "items": { - "type": "string" - }, + "$ref": "#/components/schemas/ReviewSnippet" + } + } + } + }, + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", + "properties": { + "files": { + "description": "The registered files to be used when calling GenerateContent.", "type": "array", - "description": "Optional. Required properties of Type.OBJECT." - }, - "minimum": { - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "description": { - "type": "string", - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown." - }, - "anyOf": { "items": { - "$ref": "#/components/schemas/Schema" - }, - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", - "type": "array" - }, - "type": { + "$ref": "#/components/schemas/File" + } + } + }, + "type": "object" + }, + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", + "properties": { + "taskType": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "deprecated": true, "type": "string", - "description": "Required. Data type.", "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ], - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" + "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." ] }, - "maxLength": { - "format": "int64", + "outputDimensionality": { + "deprecated": true, + "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" + }, + "title": { + "deprecated": true, + "type": "string", + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval." + }, + "model": { "type": "string", - "description": "Optional. Maximum length of the 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": { + "$ref": "#/components/schemas/Content", + "description": "Required. The content to embed. Only the `parts.text` fields will be counted." + }, + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" } - } + }, + "type": "object" }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", + "AsyncBatchEmbedContentRequest": { "type": "object", + "description": "Request for an `AsyncBatchEmbedContent` operation.", "properties": { - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." - }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "batch": { + "$ref": "#/components/schemas/EmbedContentBatch", + "description": "Required. The batch to create." } } }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", + "ChunkingConfig": { + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "properties": { + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" + } + }, + "type": "object" + }, + "LogprobsResult": { "type": "object", - "properties": {} + "description": "Logprobs Result", + "properties": { + "logProbabilitySum": { + "type": "number", + "description": "Sum of log probabilities for all tokens.", + "format": "float" + }, + "topCandidates": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TopCandidates" + }, + "description": "Length = total number of decoding steps." + }, + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } + } + } }, "ModalityTokenCount": { "description": "Represents token counting info for a single modality.", - "type": "object", "properties": { "modality": { - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], - "description": "The modality associated with this token count.", + "type": "string", "x-enum-descriptions": [ "Unspecified modality.", "Plain text.", @@ -2830,1600 +2864,1647 @@ "Audio.", "Document, e.g. PDF." ], - "type": "string" + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ], + "description": "The modality associated with this token count." }, "tokenCount": { "type": "integer", "description": "Number of tokens.", "format": "int32" } - } + }, + "type": "object" }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", - "type": "object", + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", "properties": { - "failedDocumentsCount": { - "format": "int64", - "readOnly": true, - "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing." - }, - "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" - }, - "createTime": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", + "type": "array", "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + } + } + }, + "type": "object" + }, + "VideoMetadata": { + "deprecated": true, + "type": "object", + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "properties": { + "startOffset": { + "description": "Optional. The start offset of the video.", + "format": "google-duration", "type": "string" }, - "pendingDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "type": "string", - "readOnly": true, - "format": "int64" - }, - "name": { - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", - "type": "string", - "readOnly": true + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "format": "double", + "type": "number" }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "endOffset": { + "description": "Optional. The end offset of the video.", + "format": "google-duration", "type": "string" - }, - "activeDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "type": "string", - "readOnly": true, - "format": "int64" - }, - "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`.", - "type": "string", - "readOnly": true, - "format": "int64" } } }, - "Candidate": { - "description": "A response candidate generated from the model.", + "ToolConfig": { "type": "object", + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "properties": { - "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 - }, - "citationMetadata": { - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", - "readOnly": true, - "$ref": "#/components/schemas/CitationMetadata" + "functionCallingConfig": { + "$ref": "#/components/schemas/FunctionCallingConfig", + "description": "Optional. Function calling config." }, - "groundingAttributions": { - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - } + "retrievalConfig": { + "$ref": "#/components/schemas/RetrievalConfig", + "description": "Optional. Retrieval config." }, - "safetyRatings": { - "type": "array", - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" + } + } + }, + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", + "properties": { + "documentOcr": { + "type": "boolean", + "description": "Optional. Whether to enable OCR for document content." }, - "avgLogprobs": { - "format": "double", - "readOnly": true, - "type": "number", - "description": "Output only. Average log probability score of the candidate." + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" }, - "content": { - "readOnly": true, - "$ref": "#/components/schemas/Content", - "description": "Output only. Generated content returned from the model." + "title": { + "description": "Optional. The title for the text.", + "type": "string" }, - "logprobsResult": { - "readOnly": true, - "$ref": "#/components/schemas/LogprobsResult", - "description": "Output only. Log-likelihood scores for the response tokens and top tokens" + "autoTruncate": { + "type": "boolean", + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length." }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata", - "readOnly": true + "taskType": { + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "description": "Optional. The task type of the embedding.", + "type": "string", + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ] }, - "tokenCount": { - "readOnly": true, + "outputDimensionality": { + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", "format": "int32", - "description": "Output only. Token count for this candidate.", "type": "integer" - }, - "urlContextMetadata": { + } + }, + "type": "object" + }, + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "properties": { + "chunk": { "readOnly": true, - "$ref": "#/components/schemas/UrlContextMetadata", - "description": "Output only. Metadata related to url context retrieval tool." - }, - "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." - ], "type": "string", - "readOnly": true, - "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE" - ], - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens." + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`" }, - "index": { - "description": "Output only. Index of the candidate in the list of response candidates.", - "type": "integer", + "source": { "readOnly": true, - "format": "int32" + "type": "string", + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`" } - } + }, + "type": "object" }, - "ListCorporaResponse": { - "type": "object", + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", "properties": { - "corpora": { - "items": { - "$ref": "#/components/schemas/Corpus" - }, - "type": "array", - "description": "The returned corpora." - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } }, - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`." + "type": "object" }, - "RetrievedContext": { - "type": "object", + "ModelStatus": { + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", "properties": { - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", - "type": "string" - }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" - }, - "customMetadata": { - "description": "Optional. User-provided metadata about the retrieved context.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - } - }, - "title": { - "description": "Optional. Title of the document.", - "type": "string" - }, - "text": { - "type": "string", - "description": "Optional. Text of the chunk." - }, - "pageNumber": { - "type": "integer", - "description": "Optional. Page number of the retrieved context, if applicable.", - "format": "int32" - }, - "mediaId": { + "message": { "type": "string", - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}" - } - }, - "description": "Chunk from context retrieved by the file search tool." - }, - "ReviewSnippet": { - "type": "object", - "properties": { - "reviewId": { - "description": "The ID of the review snippet.", - "type": "string" + "description": "A message explaining the model status." }, - "title": { - "description": "Title of the review.", + "retirementTime": { + "description": "The time at which the model will be retired.", + "format": "google-datetime", "type": "string" }, - "googleMapsUri": { + "modelStage": { + "description": "The stage of the underlying model.", + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false + ], + "enum": [ + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], "type": "string", - "description": "A link that corresponds to the user review on Google Maps." + "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." + ] } }, - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." + "type": "object" }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", - "type": "object", + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "properties": { - "generatedFiles": { - "type": "array", - "description": "The list of `GeneratedFile`s.", - "items": { - "$ref": "#/components/schemas/GeneratedFile" - } + "name": { + "type": "string", + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "args": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The function parameters and values in JSON object format." + }, + "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" } - } - }, - "CreateFileResponse": { - "type": "object", - "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" - } }, - "description": "Response for `CreateFile`." + "type": "object" }, - "LogprobsResultCandidate": { - "description": "Candidate for the logprobs token and score.", + "ImageConfig": { "type": "object", + "description": "Config for image generation features.", "properties": { - "token": { + "aspectRatio": { "type": "string", - "description": "The candidate\u2019s token string value." + "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided." }, - "logProbability": { - "format": "float", - "type": "number", - "description": "The candidate's log probability." - }, - "tokenId": { - "type": "integer", - "description": "The candidate\u2019s token id value.", - "format": "int32" + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "type": "string" } } }, - "VideoFileMetadata": { + "InlinedEmbedContentRequests": { "type": "object", + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "videoDuration": { - "description": "Duration of the video.", - "type": "string", - "format": "google-duration" + "requests": { + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "type": "array", + "description": "Required. The requests to be processed in the batch." } - }, - "description": "Metadata for a video `File`." + } }, - "GenerateContentRequest": { + "GenerationConfig": { "type": "object", + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "properties": { - "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": { - "$ref": "#/components/schemas/Content" - } - }, - "systemInstruction": { - "$ref": "#/components/schemas/Content", - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only." - }, - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "thinkingConfig": { + "$ref": "#/components/schemas/ThinkingConfig", + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking." }, - "safetySettings": { + "responseModalities": { "type": "array", - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", "items": { - "$ref": "#/components/schemas/SafetySetting" - } + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ], + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ] + }, + "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." }, - "toolConfig": { - "$ref": "#/components/schemas/ToolConfig", - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example." + "candidateCount": { + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "format": "int32", + "type": "integer" }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" + "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.", + "$ref": "#/components/schemas/Schema" }, - "serviceTier": { - "description": "Optional. The service tier of the request.", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "type": "string", - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ] + "maxOutputTokens": { + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", + "format": "int32", + "type": "integer" }, - "tools": { + "stopSequences": { "items": { - "$ref": "#/components/schemas/Tool" + "type": "string" }, "type": "array", - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more." + "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." }, - "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}`", + "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" + }, + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" + }, + "seed": { + "type": "integer", + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "format": "int32" + }, + "responseMimeType": { + "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.", "type": "string" }, - "store": { - "type": "boolean", - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." - } - }, - "description": "Request to generate a completion from the model." - }, - "Empty": { - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "type": "object", - "properties": {} - }, - "LogprobsResult": { - "description": "Logprobs Result", - "type": "object", - "properties": { - "logProbabilitySum": { + "logprobs": { + "type": "integer", + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", + "format": "int32" + }, + "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.", "format": "float", - "description": "Sum of log probabilities for all tokens.", "type": "number" }, - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." }, - "topCandidates": { - "description": "Length = total number of decoding steps.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TopCandidates" - } - } - } - }, - "RegisterFilesResponse": { - "description": "Response for `RegisterFiles`.", - "type": "object", - "properties": { - "files": { - "type": "array", - "description": "The registered files to be used when calling GenerateContent.", - "items": { - "$ref": "#/components/schemas/File" - } - } - } - }, - "InlinedEmbedContentResponse": { - "type": "object", - "properties": { - "response": { - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/EmbedContentResponse", - "readOnly": true + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" }, - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request." + "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.", + "format": "int32", + "type": "integer" }, - "metadata": { - "type": "object", - "description": "Output only. The metadata associated with the request.", - "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - } - } - }, - "description": "The response to a single request in the batch." - }, - "RetrievalMetadata": { - "type": "object", - "properties": { - "googleSearchDynamicRetrievalScore": { + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", + "enum": [ + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ], + "type": "string", + "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)." + ] + }, + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" + }, + "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", - "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." - }, - "CodeExecution": { - "type": "object", - "properties": {}, - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool." - }, - "SpeechConfig": { - "type": "object", - "properties": { - "voiceConfig": { - "$ref": "#/components/schemas/VoiceConfig", - "description": "The configuration in case of single-voice output." }, - "languageCode": { - "type": "string", - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`." + "frequencyPenalty": { + "type": "number", + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "format": "float" }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + "imageConfig": { + "$ref": "#/components/schemas/ImageConfig", + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options." } - }, - "description": "Config for speech generation and transcription." + } }, - "AsyncBatchEmbedContentRequest": { - "description": "Request for an `AsyncBatchEmbedContent` operation.", + "ListGeneratedFilesResponse": { "type": "object", + "description": "Response for `ListGeneratedFiles`.", "properties": { - "batch": { - "$ref": "#/components/schemas/EmbedContentBatch", - "description": "Required. The batch to create." + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GeneratedFile" + } + }, + "nextPageToken": { + "type": "string", + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." } } }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "TransferOwnershipRequest": { "type": "object", + "description": "Request to transfer the ownership of the tuned model.", "properties": { - "uris": { - "items": { - "type": "string" - }, - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", - "type": "array" + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" } } }, - "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`.", + "Operation": { "type": "object", + "description": "This resource represents a long-running operation that is the result of a network API call.", "properties": { - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", - "type": "string" - }, - "toolType": { - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], + "name": { "type": "string", - "description": "Required. The type of tool that was called.", - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ] + "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}`." }, - "args": { + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, + "response": { + "type": "object", + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "type": "object" + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "metadata": { + "type": "object", + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "error": { + "$ref": "#/components/schemas/Status", + "description": "The error result of the operation in case of failure or cancellation." } } }, - "EmbedContentRequest": { + "RetrievedContext": { "type": "object", + "description": "Chunk from context retrieved by the file search tool.", "properties": { - "taskType": { - "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." - ], + "uri": { "type": "string", - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", - "deprecated": true + "description": "Optional. URI reference of the semantic retrieval document." }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" + "pageNumber": { + "description": "Optional. Page number of the retrieved context, if applicable.", + "format": "int32", + "type": "integer" }, - "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, + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", "type": "string" }, - "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}`" + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "type": "string" }, - "outputDimensionality": { - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", - "deprecated": true, - "type": "integer", - "format": "int32" + "title": { + "description": "Optional. Title of the document.", + "type": "string" + }, + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + }, + "description": "Optional. User-provided metadata about the retrieved context." } - }, - "description": "Request containing the `Content` for the model to embed." + } }, - "FileData": { - "type": "object", + "UploadToFileSearchStoreRequest": { + "description": "Request for `UploadToFileSearchStore`.", "properties": { + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Custom metadata to be associated with the data." + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" + "type": "string", + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content." }, - "fileUri": { - "description": "Required. URI.", + "displayName": { + "description": "Optional. Display name of the created document.", "type": "string" } }, - "description": "URI based data." + "type": "object" }, - "BatchGenerateContentRequest": { - "type": "object", + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "properties": { - "batch": { - "$ref": "#/components/schemas/GenerateContentBatch", - "description": "Required. The batch to create." - } + "outcome": { + "type": "string", + "x-enum-descriptions": [ + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ], + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ], + "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." + }, + "output": { + "type": "string", + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise." + } }, - "description": "Request for a `BatchGenerateContent` operation." + "type": "object" }, - "FunctionResponse": { - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", - "type": "object", + "File": { + "description": "A file uploaded to the API. Next ID: 15", "properties": { + "createTime": { + "description": "Output only. The timestamp of when the `File` was created.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + }, + "sha256Hash": { + "readOnly": true, + "type": "string", + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "format": "byte" + }, + "sizeBytes": { + "readOnly": true, + "type": "string", + "description": "Output only. Size of the file in bytes.", + "format": "int64" + }, "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": "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" }, - "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" + "downloadUri": { + "description": "Output only. The download uri of the `File`.", + "type": "string", + "readOnly": true }, - "id": { + "videoMetadata": { + "$ref": "#/components/schemas/VideoFileMetadata", + "readOnly": true, + "description": "Output only. Metadata for a video." + }, + "mimeType": { + "description": "Output only. MIME type of the file.", "type": "string", - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`." + "readOnly": true }, - "willContinue": { - "type": "boolean", - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`." + "uri": { + "description": "Output only. The uri of the `File`.", + "readOnly": true, + "type": "string" }, - "parts": { - "type": "array", - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - } + "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", + "format": "google-datetime", + "readOnly": true, + "type": "string" }, - "scheduling": { + "source": { + "description": "Source of the File.", "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" ], "type": "string", - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + "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." ] - } - } - }, - "GenerationConfig": { - "type": "object", - "properties": { - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" }, - "candidateCount": { - "format": "int32", - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "type": "integer" - }, - "topK": { - "format": "int32", - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "integer" - }, - "frequencyPenalty": { - "format": "float", - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "type": "number" - }, - "imageConfig": { - "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", - "$ref": "#/components/schemas/ImageConfig" - }, - "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.", - "$ref": "#/components/schemas/Schema" - }, - "temperature": { - "format": "float", - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "type": "number" - }, - "seed": { - "format": "int32", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "type": "integer" - }, - "responseModalities": { - "items": { - "type": "string", - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ] - }, - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", - "type": "array" + "error": { + "readOnly": true, + "$ref": "#/components/schemas/Status", + "description": "Output only. Error status if File processing failed." }, - "maxOutputTokens": { - "format": "int32", - "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." + "displayName": { + "type": "string", + "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\"" }, - "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" + "state": { + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ], + "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." + ], + "readOnly": true }, - "mediaResolution": { + "expirationTime": { + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + } + }, + "type": "object" + }, + "GeneratedFile": { + "description": "A file generated on behalf of a user.", + "properties": { + "state": { "type": "string", - "description": "Optional. If specified, the media resolution specified will be used.", "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." ], + "readOnly": true, "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ] + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "description": "Output only. The state of the GeneratedFile." }, - "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.", + "error": { + "$ref": "#/components/schemas/Status", + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state." + }, + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", "type": "string" }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" + } + }, + "type": "object" + }, + "ComputerUse": { + "type": "object", + "description": "Computer Use tool type.", + "properties": { + "environment": { + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ], + "description": "Required. The environment being operated.", + "type": "string", + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ] }, - "stopSequences": { + "excludedPredefinedFunctions": { "items": { "type": "string" }, "type": "array", - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response." - }, - "responseLogprobs": { - "type": "boolean", - "description": "Optional. If true, export the logprobs results in response." - }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." - }, - "presencePenalty": { - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", - "type": "number", - "format": "float" + "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." + } + } + }, + "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.", + "$ref": "#/components/schemas/FunctionResponseBlob" + } + }, + "type": "object" + }, + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "properties": { + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", + "type": "string" }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", + "data": { + "type": "string", + "description": "Raw bytes for media formats.", + "format": "byte" + } + }, + "type": "object" + }, + "GroundingPassageId": { + "description": "Identifier for a part within a `GroundingPassage`.", + "properties": { + "partIndex": { + "readOnly": true, "type": "integer", + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", "format": "int32" + }, + "passageId": { + "type": "string", + "readOnly": true, + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`." } }, - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model." + "type": "object" }, - "EmbedContentBatch": { + "WhiteSpaceConfig": { "type": "object", + "description": "Configuration for a white space chunking algorithm [white space delimited].", "properties": { - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" + "maxTokensPerChunk": { + "type": "integer", + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "format": "int32" }, - "createTime": { + "maxOverlapTokens": { + "type": "integer", + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "format": "int32" + } + } + }, + "SpeakerVoiceConfig": { + "type": "object", + "description": "The configuration for a single speaker in a multi speaker setup.", + "properties": { + "speaker": { "type": "string", - "description": "Output only. The time at which the batch was created.", - "format": "google-datetime", - "readOnly": true + "description": "Required. The name of the speaker to use. Should be the same as in the prompt." }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "Required. The configuration for the voice to use." + } + } + }, + "AttributionSourceId": { + "type": "object", + "description": "Identifier for the source contributing to this attribution.", + "properties": { + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "type": "string", - "readOnly": true + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" + } + } + }, + "SearchEntryPoint": { + "description": "Google search entry point.", + "properties": { + "sdkBlob": { + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "format": "byte", + "type": "string" }, - "endTime": { - "format": "google-datetime", - "readOnly": true, + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "type": "string" + } + }, + "type": "object" + }, + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", + "properties": { + "id": { "type": "string", - "description": "Output only. The time at which the batch processing completed." - }, - "output": { - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "readOnly": true, - "description": "Output only. The output of the batch request." - }, - "batchStats": { - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchStats", - "description": "Output only. Stats about the batch." + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." }, - "state": { + "toolType": { + "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.", "type": "string", "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "description": "Output only. The state of the batch.", - "readOnly": true, - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" + "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." ] }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "priority": { - "format": "int64", - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string" + "args": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}" } }, - "description": "A resource representing a batch of `EmbedContent` requests." + "type": "object" }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", - "type": "object", + "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", "properties": { - "webSearch": { - "$ref": "#/components/schemas/WebSearch", - "description": "Optional. Enables web search. Only text results are returned." + "groundingSupports": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "description": "List of grounding support." }, - "imageSearch": { - "$ref": "#/components/schemas/ImageSearch", - "description": "Optional. Enables image search. Image bytes are returned." - } - } - }, - "GroundingChunkStringList": { - "type": "object", - "properties": { - "values": { + "retrievalMetadata": { + "$ref": "#/components/schemas/RetrievalMetadata", + "description": "Metadata related to retrieval in the grounding flow." + }, + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "items": { + "type": "string" + }, + "type": "array" + }, + "groundingChunks": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunk" + }, + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses." + }, + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" + }, + "googleMapsWidgetContextToken": { + "type": "string", + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled." + }, + "webSearchQueries": { "items": { "type": "string" }, "type": "array", - "description": "The string values of the list." + "description": "Web search queries for the following-up web search." } }, - "description": "A list of string values." + "type": "object" }, - "TunedModelSource": { - "type": "object", + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", "properties": { - "tunedModel": { + "numericValue": { + "description": "The numeric value of the metadata to store.", + "format": "float", + "type": "number" + }, + "key": { "type": "string", - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`" + "description": "Required. The key of the metadata to store." }, - "baseModel": { - "readOnly": true, + "stringValue": { "type": "string", - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" + "description": "The string value of the metadata to store." + }, + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" } }, - "description": "Tuned model as a source for training a new model." + "type": "object" }, - "Image": { + "FileData": { "type": "object", + "description": "URI based data.", "properties": { - "sourceUri": { - "type": "string", - "description": "The web page URI for attribution." - }, - "title": { - "type": "string", - "description": "The title of the web page that the image is from." - }, - "imageUri": { - "description": "The image asset URL.", + "fileUri": { + "description": "Required. URI.", "type": "string" }, - "domain": { - "type": "string", - "description": "The root domain of the web page that the image is from, e.g. \"example.com\"." + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" + } + } + }, + "CreateFileResponse": { + "description": "Response for `CreateFile`.", + "properties": { + "file": { + "$ref": "#/components/schemas/File", + "description": "Metadata for the created file." } }, - "description": "Chunk from image search." + "type": "object" }, - "InlinedRequests": { - "type": "object", + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", "properties": { - "requests": { - "items": { - "$ref": "#/components/schemas/InlinedRequest" - }, - "type": "array", - "description": "Required. The requests to be processed in the batch." + "embedding": { + "description": "Output only. The embedding generated from the input content.", + "readOnly": true, + "$ref": "#/components/schemas/ContentEmbedding" + }, + "usageMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "description": "Output only. The usage metadata for the request." } }, - "description": "The requests to be processed in the batch if provided as part of the batch creation request." + "type": "object" }, - "ListFilesResponse": { - "description": "Response for `ListFiles`.", + "ListModelsResponse": { "type": "object", + "description": "Response from `ListModel` containing a paginated list of Models.", "properties": { - "files": { + "models": { + "description": "The returned Models.", "type": "array", - "description": "The list of `File`s.", "items": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Model" } }, "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "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" } } }, - "Document": { - "type": "object", + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", "properties": { - "state": { + "mode": { + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", + "enum": [ + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" + ], "type": "string", "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ], - "description": "Output only. Current state of the `Document`.", - "readOnly": true, - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" + "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\"." ] }, - "name": { - "type": "string", - "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`" - }, - "updateTime": { - "format": "google-datetime", + "allowedFunctionNames": { + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "items": { + "type": "string" + }, + "type": "array" + } + }, + "type": "object" + }, + "EmbedContentBatchStats": { + "description": "Stats about the batch.", + "properties": { + "failedRequestCount": { "readOnly": true, "type": "string", - "description": "Output only. The Timestamp of when the `Document` was last updated." + "description": "Output only. The number of requests that failed to be processed.", + "format": "int64" }, - "mimeType": { - "description": "Output only. The mime type of the Document.", + "pendingRequestCount": { "type": "string", - "readOnly": true - }, - "sizeBytes": { "readOnly": true, - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the Document.", - "type": "string" - }, - "customMetadata": { - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - } + "description": "Output only. The number of requests that are still pending processing.", + "format": "int64" }, - "displayName": { + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "format": "int64", "type": "string", - "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\"" + "readOnly": true }, - "createTime": { - "format": "google-datetime", + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "format": "int64", "readOnly": true, - "type": "string", - "description": "Output only. The Timestamp of when the `Document` was created." + "type": "string" } }, - "description": "A `Document` is a collection of `Chunk`s." + "type": "object" }, - "CustomLongRunningOperation": { + "SafetySetting": { "type": "object", + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "properties": { - "metadata": { - "type": "object", - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "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." - }, - "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." - } - }, - "name": { + "category": { "type": "string", - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." - }, - "error": { - "$ref": "#/components/schemas/Status", - "description": "The error result of the operation in case of failure or cancellation." - } - } - }, - "CodeExecutionResult": { - "type": "object", - "properties": { - "outcome": { - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], - "description": "Required. Outcome of the code execution.", "x-enum-descriptions": [ - "Unspecified status. This value should not be used.", - "Code execution completed successfully. `output` contains the stdout, if any.", - "Code execution failed. `output` contains the stderr and stdout, if any.", - "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." ], - "type": "string" - }, - "output": { - "type": "string", - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise." + "description": "Required. The category for this setting.", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ] }, - "id": { + "threshold": { "type": "string", - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id." - } - }, - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used." - }, - "Blob": { - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", - "type": "object", - "properties": { - "data": { - "format": "byte", - "description": "Raw bytes for media formats.", - "type": "string" - }, - "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" + "x-enum-descriptions": [ + "Threshold is unspecified.", + "Content with NEGLIGIBLE will be allowed.", + "Content with NEGLIGIBLE and LOW will be allowed.", + "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", + "All content will be allowed.", + "Turn off the safety filter." + ], + "description": "Required. Controls the probability threshold at which harm is blocked.", + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" + ] } } }, - "SearchEntryPoint": { - "description": "Google search entry point.", - "type": "object", + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", "properties": { - "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" + "examples": { + "items": { + "$ref": "#/components/schemas/TuningExample" + }, + "type": "array", + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type." } - } + }, + "type": "object" }, - "Status": { - "type": "object", + "TransferOwnershipResponse": { + "description": "Response from `TransferOwnership`.", + "properties": {}, + "type": "object" + }, + "ListFilesResponse": { + "description": "Response for `ListFiles`.", "properties": { - "code": { - "format": "int32", - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer" - }, - "details": { - "items": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object" - }, + "files": { + "description": "The list of `File`s.", "type": "array", - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." + "items": { + "$ref": "#/components/schemas/File" + } }, - "message": { + "nextPageToken": { "type": "string", - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client." + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call." } }, - "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" }, - "Model": { - "type": "object", + "UrlMetadata": { + "description": "Context of the a single url retrieval.", "properties": { - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "retrievedUrl": { + "description": "Retrieved url by the tool.", "type": "string" }, - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", + "urlRetrievalStatus": { + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ], + "description": "Status of the url retrieval.", + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ] + } + }, + "type": "object" + }, + "ImageSearch": { + "description": "Image search for grounding and related configurations.", + "properties": {}, + "type": "object" + }, + "BatchStats": { + "type": "object", + "description": "Stats about the batch.", + "properties": { + "failedRequestCount": { + "readOnly": true, + "type": "string", + "description": "Output only. The number of requests that failed to be processed.", + "format": "int64" + }, + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "format": "int64", + "readOnly": true, "type": "string" }, - "temperature": { - "format": "float", - "type": "number", - "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." + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "format": "int64", + "readOnly": true, + "type": "string" }, - "inputTokenLimit": { + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "format": "int64", + "readOnly": true, + "type": "string" + } + } + }, + "Model": { + "description": "Information about a Generative Language Model.", + "properties": { + "outputTokenLimit": { "type": "integer", - "description": "Maximum number of input tokens allowed for this model.", + "description": "Maximum number of output tokens available for this model.", "format": "int32" }, + "supportedGenerationMethods": { + "type": "array", + "items": { + "type": "string" + }, + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." + }, "topP": { "type": "number", "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" }, - "description": { + "displayName": { "type": "string", - "description": "A short description of the model." + "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." }, - "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`", + "maxTemperature": { + "type": "number", + "description": "The maximum temperature this model can use.", + "format": "float" + }, + "thinking": { + "type": "boolean", + "description": "Whether the model supports thinking." + }, + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", "type": "string" }, "topK": { - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", "type": "integer", + "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": { - "format": "int32", - "description": "Maximum number of output tokens available for this model.", - "type": "integer" - }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", "type": "string" }, - "supportedGenerationMethods": { - "items": { - "type": "string" - }, - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", - "type": "array" + "description": { + "description": "A short description of the model.", + "type": "string" }, - "maxTemperature": { + "temperature": { "type": "number", - "description": "The maximum temperature this model can use.", + "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" }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" + "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`" + }, + "inputTokenLimit": { + "description": "Maximum number of input tokens allowed for this model.", + "format": "int32", + "type": "integer" } }, - "description": "Information about a Generative Language Model." + "type": "object" }, - "FunctionCallingConfig": { + "FunctionResponse": { "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": { - "allowedFunctionNames": { - "items": { - "type": "string" - }, - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "type": "array" - }, - "mode": { + "scheduling": { "type": "string", - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." + "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": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ] - } - }, - "description": "Configuration for specifying function calling behavior." - }, - "SemanticRetrieverChunk": { - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", - "type": "object", - "properties": { - "source": { - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "type": "string", - "readOnly": true - }, - "chunk": { - "readOnly": true, - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "type": "string" - } - } - }, - "BatchEmbedContentsResponse": { - "description": "The response to a `BatchEmbedContentsRequest`.", - "type": "object", - "properties": { - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "readOnly": true + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ], + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE." }, - "embeddings": { - "readOnly": true, + "parts": { + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", "items": { - "$ref": "#/components/schemas/ContentEmbedding" + "$ref": "#/components/schemas/FunctionResponsePart" }, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", "type": "array" + }, + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "type": "string" + }, + "name": { + "type": "string", + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." + }, + "response": { + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" + }, + "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" } } }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "GoogleAiGenerativelanguageV1betaSegment": { "type": "object", + "description": "Segment of the content.", "properties": { - "pendingRequestCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests that are still pending processing.", - "type": "string" - }, - "failedRequestCount": { - "format": "int64", - "readOnly": true, + "text": { "type": "string", - "description": "Output only. The number of requests that failed to be processed." + "description": "The text corresponding to the segment from the response." }, - "requestCount": { - "format": "int64", - "readOnly": true, - "type": "string", - "description": "Output only. The number of requests in the batch." + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "format": "int32", + "type": "integer" }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "type": "string", - "readOnly": true, - "format": "int64" + "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" + }, + "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" } } }, - "VideoMetadata": { + "McpServer": { "type": "object", - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", - "deprecated": true, + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", "properties": { - "startOffset": { - "description": "Optional. The start offset of the video.", - "type": "string", - "format": "google-duration" - }, - "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" + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "endOffset": { + "name": { "type": "string", - "description": "Optional. The end offset of the video.", - "format": "google-duration" + "description": "The name of the MCPServer." } } }, - "ComputerUse": { - "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`.", "properties": { - "environment": { - "description": "Required. The environment being operated.", - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ], - "type": "string", - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ] - }, - "excludedPredefinedFunctions": { + "contents": { + "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/Content" }, - "type": "array", - "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions." + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." + }, + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" } }, - "description": "Computer Use tool type." + "type": "object" }, - "RetrievalConfig": { - "description": "Retrieval config.", + "SpeechConfig": { "type": "object", + "description": "Config for speech generation and transcription.", "properties": { - "latLng": { - "$ref": "#/components/schemas/LatLng", - "description": "Optional. The location of the user." + "multiSpeakerVoiceConfig": { + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig", + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field." }, "languageCode": { - "type": "string", - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "type": "string" + }, + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" } } }, - "LatLng": { - "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", "properties": { - "latitude": { - "type": "number", - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "format": "double" + "name": { + "readOnly": true, + "type": "string", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only." }, - "longitude": { - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "type": "number", - "format": "double" + "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" + }, + "role": { + "description": "Required. The role granted by this permission.", + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ], + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ] + }, + "granteeType": { + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ], + "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." + ] } }, - "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" }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "TunedModel": { "type": "object", + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "properties": { - "cacheTokensDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "type": "array", - "description": "Output only. List of modalities of the cached content in the request input." + "description": { + "type": "string", + "description": "Optional. A short description of this model." }, - "candidatesTokenCount": { - "format": "int32", - "description": "Total number of tokens across all the generated response candidates.", - "type": "integer" + "tunedModelSource": { + "$ref": "#/components/schemas/TunedModelSource", + "description": "Optional. TunedModel to use as the starting point for training the new model." }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", + "name": { + "type": "string", "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "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`" }, - "totalTokenCount": { - "description": "Total token count for the generation request (prompt + response candidates).", - "type": "integer", - "format": "int32" + "temperature": { + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", + "format": "float", + "type": "number" }, - "promptTokenCount": { - "format": "int32", - "type": "integer", - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content." + "createTime": { + "description": "Output only. The timestamp when this model was created.", + "format": "google-datetime", + "type": "string", + "readOnly": true }, - "toolUsePromptTokenCount": { - "format": "int32", - "readOnly": true, - "type": "integer", - "description": "Output only. Number of tokens present in tool-use prompt(s)." + "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." }, - "candidatesTokensDetails": { - "type": "array", - "description": "Output only. List of modalities that were returned in the response.", + "state": { "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." + ], + "description": "Output only. The state of the tuned model.", + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ] }, - "toolUsePromptTokensDetails": { - "readOnly": true, + "readerProjectNumbers": { "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "format": "int64", + "type": "string" }, "type": "array", - "description": "Output only. List of modalities that were processed for tool-use request inputs." + "description": "Optional. List of project numbers that have read access to the tuned model." }, - "thoughtsTokenCount": { - "type": "integer", - "description": "Output only. Number of tokens of thoughts for thinking models.", + "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" + }, + "topK": { + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", "format": "int32", - "readOnly": true + "type": "integer" }, - "cachedContentTokenCount": { - "type": "integer", - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "format": "int32" + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true + "baseModel": { + "type": "string", + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`" }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "updateTime": { + "description": "Output only. The timestamp when this model was updated.", + "format": "google-datetime", + "type": "string", + "readOnly": true + } + } + }, + "MultiSpeakerVoiceConfig": { + "type": "object", + "description": "The configuration for the multi-speaker setup.", + "properties": { + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", "type": "array", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/SpeakerVoiceConfig" } } } }, - "DynamicRetrievalConfig": { + "ToolResponse": { "type": "object", + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", "properties": { - "mode": { - "description": "The mode of the predictor to be used in dynamic retrieval.", - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], + "id": { "type": "string", + "description": "Optional. The identifier of the tool call this response is for." + }, + "toolType": { "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" + "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", + "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." ] }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number", - "format": "float" - } - }, - "description": "Describes the options to customize dynamic retrieval." - }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", - "type": "object", - "properties": { - "requests": { - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "type": "array", - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - } + "response": { + "description": "Optional. The tool response.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" } } }, - "CreateFileRequest": { - "type": "object", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" - } - }, - "description": "Request for `CreateFile`." - }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", + "BatchGenerateContentRequest": { "type": "object", + "description": "Request for a `BatchGenerateContent` operation.", "properties": { - "values": { - "description": "The string values of the metadata to store.", - "type": "array", - "items": { - "type": "string" - } + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } } }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", + "GenerateContentBatchOutput": { "type": "object", + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "properties": { - "groundingPassage": { - "$ref": "#/components/schemas/GroundingPassageId", - "description": "Identifier for an inline passage." + "responsesFile": { + "readOnly": true, + "type": "string", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." }, - "semanticRetrieverChunk": { - "$ref": "#/components/schemas/SemanticRetrieverChunk", - "description": "Identifier for a `Chunk` fetched via Semantic Retriever." + "inlinedResponses": { + "readOnly": true, + "$ref": "#/components/schemas/InlinedResponses", + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." } } }, - "GroundingMetadata": { - "type": "object", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "properties": { - "groundingSupports": { - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - }, - "type": "array", - "description": "List of grounding support." + "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" }, - "imageSearchQueries": { - "items": { - "type": "string" - }, - "description": "Image search queries used for grounding.", - "type": "array" + "updateTime": { + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "format": "google-datetime", + "readOnly": true, + "type": "string" }, - "retrievalMetadata": { - "$ref": "#/components/schemas/RetrievalMetadata", - "description": "Metadata related to retrieval in the grounding flow." + "name": { + "type": "string", + "readOnly": true, + "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`" }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "createTime": { + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "format": "google-datetime", + "type": "string", + "readOnly": true + } + }, + "type": "object" + }, + "ExecutableCode": { + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", + "properties": { + "code": { + "description": "Required. The code to be executed.", "type": "string" }, - "searchEntryPoint": { - "$ref": "#/components/schemas/SearchEntryPoint", - "description": "Optional. Google search entry for the following-up web searches." - }, - "webSearchQueries": { - "items": { - "type": "string" - }, - "type": "array", - "description": "Web search queries for the following-up web search." + "id": { + "type": "string", + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." }, - "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": { - "$ref": "#/components/schemas/GroundingChunk" - } + "language": { + "type": "string", + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "description": "Required. Programming language of the `code`." } }, - "description": "Metadata returned to client when grounding is enabled." + "type": "object" }, - "ListModelsResponse": { - "description": "Response from `ListModel` containing a paginated list of Models.", + "ListFileSearchStoresResponse": { "type": "object", + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "properties": { - "models": { + "fileSearchStores": { "type": "array", - "description": "The returned Models.", "items": { - "$ref": "#/components/schemas/Model" - } + "$ref": "#/components/schemas/FileSearchStore" + }, + "description": "The returned rag_stores." }, "nextPageToken": { "type": "string", @@ -4431,1081 +4512,1042 @@ } } }, - "TuningExamples": { - "description": "A set of tuning examples. Can be training or validation data.", - "type": "object", - "properties": { - "examples": { - "type": "array", - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", - "items": { - "$ref": "#/components/schemas/TuningExample" - } - } - } - }, - "CustomMetadata": { + "TuningSnapshot": { "type": "object", + "description": "Record for a single tuning step.", "properties": { - "stringValue": { - "type": "string", - "description": "The string value of the metadata to store." + "step": { + "readOnly": true, + "type": "integer", + "description": "Output only. The tuning step.", + "format": "int32" }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "epoch": { + "description": "Output only. The epoch this step was part of.", + "format": "int32", + "readOnly": true, + "type": "integer" }, - "numericValue": { + "meanLoss": { + "description": "Output only. The mean loss of the training examples for this step.", "format": "float", - "description": "The numeric value of the metadata to store.", - "type": "number" - }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" - } - }, - "description": "User provided metadata stored as key-value pairs." - }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", - "type": "object", - "properties": { - "passageId": { - "type": "string", - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "type": "number", "readOnly": true }, - "partIndex": { - "type": "integer", - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "format": "int32", - "readOnly": true + "computeTime": { + "type": "string", + "readOnly": true, + "description": "Output only. The timestamp when this metric was computed.", + "format": "google-datetime" } } }, - "ContentEmbedding": { + "GoogleSearch": { "type": "object", + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "properties": { - "values": { - "items": { - "type": "number", - "format": "float" - }, - "type": "array", - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls." + "searchTypes": { + "$ref": "#/components/schemas/SearchTypes", + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." }, - "shape": { - "items": { - "type": "integer", - "format": "int32" - }, - "type": "array", - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048])." + "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).", + "$ref": "#/components/schemas/Interval" } - }, - "description": "A list of floats representing an embedding." + } }, - "Tool": { - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", - "type": "object", + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", "properties": { - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "fileSearch": { - "$ref": "#/components/schemas/FileSearch", - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora." - }, - "mcpServers": { - "items": { - "$ref": "#/components/schemas/McpServer" - }, - "description": "Optional. MCP Servers to connect to.", - "type": "array" - }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" - }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" - }, - "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": { - "$ref": "#/components/schemas/FunctionDeclaration" - } - }, - "codeExecution": { - "$ref": "#/components/schemas/CodeExecution", - "description": "Optional. Enables the model to execute code as part of generation." - }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" }, - "urlContext": { - "$ref": "#/components/schemas/UrlContext", - "description": "Optional. Tool to support URL context retrieval." + "fileName": { + "type": "string", + "description": "The name of the `File` containing the input requests." } - } + }, + "type": "object" }, - "CountTokensResponse": { - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "InlinedResponse": { "type": "object", + "description": "The response to a single request in the batch.", "properties": { - "cachedContentTokenCount": { - "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "type": "integer" - }, - "totalTokens": { - "format": "int32", - "type": "integer", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." + "response": { + "description": "Output only. The response to the request.", + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentResponse" }, - "promptTokensDetails": { + "metadata": { "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "type": "array", - "description": "Output only. List of modalities that were processed in the request input." + "type": "object", + "description": "Output only. The metadata associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + } }, - "cacheTokensDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "type": "array", - "description": "Output only. List of modalities that were processed in the cached content." + "error": { + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status", + "readOnly": true } } }, - "GroundingChunk": { - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "TunedModelSource": { "type": "object", + "description": "Tuned model as a source for training a new model.", "properties": { - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" - }, - "image": { - "$ref": "#/components/schemas/Image", - "description": "Optional. Grounding chunk from image search." - }, - "retrievedContext": { - "$ref": "#/components/schemas/RetrievedContext", - "description": "Optional. Grounding chunk from context retrieved by the file search tool." + "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" }, - "maps": { - "$ref": "#/components/schemas/Maps", - "description": "Optional. Grounding chunk from Google Maps." + "baseModel": { + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + "type": "string", + "readOnly": true } } }, "CachedContent": { "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", - "type": "object", "properties": { - "tools": { - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - } + "usageMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/CachedContentUsageMetadata", + "description": "Output only. Metadata on the usage of the cached content." }, "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", - "type": "string" - }, - "createTime": { - "format": "google-datetime", - "readOnly": true, "type": "string", - "description": "Output only. Creation time of the cache entry." + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters." + }, + "systemInstruction": { + "$ref": "#/components/schemas/Content", + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only." + }, + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" }, "expireTime": { - "format": "google-datetime", "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", + "format": "google-datetime", "type": "string" }, - "toolConfig": { - "$ref": "#/components/schemas/ToolConfig", - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools." + "contents": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + }, + "description": "Optional. Input only. Immutable. The content to cache." }, "name": { + "type": "string", "readOnly": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`" + }, + "ttl": { + "description": "Input only. New TTL for this resource, input only.", + "format": "google-duration", "type": "string" }, "model": { "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", "type": "string" }, - "usageMetadata": { + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", + "format": "google-datetime", "readOnly": true, - "$ref": "#/components/schemas/CachedContentUsageMetadata", - "description": "Output only. Metadata on the usage of the cached content." - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" + "type": "string" }, - "contents": { - "description": "Optional. Input only. Immutable. The content to cache.", + "tools": { "type": "array", "items": { - "$ref": "#/components/schemas/Content" - } - }, - "ttl": { - "format": "google-duration", - "description": "Input only. New TTL for this resource, input only.", - "type": "string" + "$ref": "#/components/schemas/Tool" + }, + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response" }, - "updateTime": { - "description": "Output only. When the cache entry was last updated in UTC time.", - "type": "string", + "createTime": { + "description": "Output only. Creation time of the cache entry.", + "format": "google-datetime", "readOnly": true, - "format": "google-datetime" + "type": "string" } - } + }, + "type": "object" }, - "ImportFileRequest": { + "ListOperationsResponse": { "type": "object", + "description": "The response message for Operations.ListOperations.", "properties": { - "chunkingConfig": { - "$ref": "#/components/schemas/ChunkingConfig", - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." - }, - "customMetadata": { + "operations": { "items": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/Operation" }, "type": "array", - "description": "Custom metadata to be associated with the file." + "description": "A list of operations that matches the specified filter in the request." }, - "fileName": { + "nextPageToken": { "type": "string", - "description": "Required. The name of the `File` to import. Example: `files/abc-123`" - } - }, - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`." - }, - "ChunkingConfig": { - "type": "object", - "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "description": "The standard List next-page token." + }, + "unreachable": { + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "type": "array", + "items": { + "type": "string" + } } - }, - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto" + } }, - "FunctionDeclaration": { - "type": "object", + "Status": { + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "properties": { - "parameters": { - "$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." - }, - "description": { - "type": "string", - "description": "Required. A brief description of the function." - }, - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." - }, - "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" - }, - "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" + "details": { + "type": "array", + "items": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." }, - "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`." + "code": { + "type": "integer", + "description": "The status code, which should be an enum value of google.rpc.Code.", + "format": "int32" }, - "behavior": { - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", - "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." - ], + "message": { "type": "string", - "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ] + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client." } }, - "description": "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." - }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", - "type": "object", - "properties": { - "prebuiltVoiceConfig": { - "$ref": "#/components/schemas/PrebuiltVoiceConfig", - "description": "The configuration for the prebuilt voice to use." - } - } - }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", - "type": "object", - "properties": { - "voiceName": { - "type": "string", - "description": "The name of the preset voice to use." - } - } + "type": "object" }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", - "type": "object", + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", "properties": { - "speakerVoiceConfigs": { + "embeddings": { + "type": "array", + "readOnly": true, "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" + "$ref": "#/components/schemas/ContentEmbedding" }, - "description": "Required. All the enabled speaker voices.", - "type": "array" - } - } - }, - "ImageConfig": { - "type": "object", - "properties": { - "imageSize": { - "type": "string", - "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`." + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request." }, - "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" + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } }, - "description": "Config for image generation features." + "type": "object" }, - "GroundingAttribution": { - "description": "Attribution for a source that contributed to an answer.", - "type": "object", + "TuningExample": { + "description": "A single example for tuning.", "properties": { - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "textInput": { + "description": "Optional. Text model input.", + "type": "string" }, - "sourceId": { - "$ref": "#/components/schemas/AttributionSourceId", - "readOnly": true, - "description": "Output only. Identifier for the source contributing to this attribution." + "output": { + "description": "Required. The expected model output.", + "type": "string" } - } + }, + "type": "object" }, - "FileSearch": { - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", - "type": "object", - "properties": { - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" - }, - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", - "type": "array", - "items": { - "type": "string" - } - }, - "topK": { - "format": "int32", - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer" + "Dataset": { + "type": "object", + "description": "Dataset for training or validation.", + "properties": { + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } } }, - "ExecutableCode": { + "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": { - "id": { + "usageMetadata": { + "$ref": "#/components/schemas/UsageMetadata", + "readOnly": true, + "description": "Output only. Metadata on the generation requests' token usage." + }, + "candidates": { + "description": "Candidate responses from the model.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Candidate" + } + }, + "modelVersion": { "type": "string", - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." + "readOnly": true, + "description": "Output only. The model version used to generate the response." }, - "language": { - "description": "Required. Programming language of the `code`.", - "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." - ], + "responseId": { + "readOnly": true, "type": "string", - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ] + "description": "Output only. response_id is used to identify each response." }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" + "modelStatus": { + "$ref": "#/components/schemas/ModelStatus", + "readOnly": true, + "description": "Output only. The current model status of this model." + }, + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" } - }, - "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." + } }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", + "CustomLongRunningOperation": { "type": "object", "properties": { - "name": { - "readOnly": true, - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", - "type": "string" + "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" }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "type": "string" + "error": { + "$ref": "#/components/schemas/Status", + "description": "The error result of the operation in case of failure or cancellation." }, - "displayName": { - "type": "string", - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" + "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" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "type": "string", - "readOnly": true, - "format": "google-datetime" + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "type": "string" + }, + "done": { + "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." } } }, - "Permission": { - "type": "object", + "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": { - "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.", + "description": { + "description": "Required. A brief description of the function.", "type": "string" }, - "granteeType": { - "description": "Optional. Immutable. The type of the grantee.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." - ], - "type": "string", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ] + "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" }, - "role": { + "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" + }, + "responseJsonSchema": { + "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." + }, + "parameters": { + "$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." + }, + "behavior": { + "enum": [ + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ], + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", "type": "string", - "description": "Required. The role granted by this permission.", "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ], - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" + "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." ] - }, - "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.", - "type": "string" } }, - "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" }, - "ModelStatus": { - "type": "object", + "InputConfig": { + "description": "Configures the input to the batch request.", "properties": { - "retirementTime": { + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" + }, + "fileName": { "type": "string", - "description": "The time at which the model will be retired.", - "format": "google-datetime" + "description": "The name of the `File` containing the input requests." + } + }, + "type": "object" + }, + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", + "properties": { + "candidates": { + "description": "Sorted by log probability in descending order.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } + } + }, + "type": "object" + }, + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", + "properties": { + "tools": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + }, + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more." }, - "modelStage": { - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "type": "array", + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request." + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" + }, + "serviceTier": { + "enum": [ + "unspecified", + "standard", + "flex", + "priority" ], + "description": "Optional. The service tier of the request.", + "type": "string", "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." - ], + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ] + }, + "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": { + "$ref": "#/components/schemas/SafetySetting" + }, + "type": "array" + }, + "cachedContent": { "type": "string", - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ], - "description": "The stage of the underlying model." + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`" }, - "message": { - "description": "A message explaining the model status.", - "type": "string" + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, + "toolConfig": { + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", + "$ref": "#/components/schemas/ToolConfig" + }, + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" } }, - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." + "type": "object" }, - "InlinedEmbedContentRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "EmbedContentBatchOutput": { "type": "object", + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "properties": { - "requests": { - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - }, - "type": "array", - "description": "Required. The requests to be processed in the batch." + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "readOnly": true, + "type": "string" + }, + "inlinedResponses": { + "readOnly": true, + "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." } } }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "InlinedEmbedContentResponse": { "type": "object", + "description": "The response to a single request in the batch.", "properties": { - "learningRateMultiplier": { - "format": "float", - "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", - "type": "number" - }, - "batchSize": { - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", - "type": "integer", - "format": "int32" + "response": { + "description": "Output only. The response to the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentResponse" }, - "learningRate": { - "format": "float", - "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." + "metadata": { + "description": "Output only. The metadata associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + }, + "readOnly": true, + "type": "object" }, - "epochCount": { - "format": "int32", - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", - "type": "integer" + "error": { + "readOnly": true, + "$ref": "#/components/schemas/Status", + "description": "Output only. The error encountered while processing the request." } } }, - "Interval": { - "type": "object", + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "startTime": { - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", - "type": "string", - "format": "google-datetime" - }, - "endTime": { - "format": "google-datetime", - "type": "string", - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end." + "requests": { + "items": { + "$ref": "#/components/schemas/InlinedRequest" + }, + "type": "array", + "description": "Required. The requests to be processed in the batch." } }, - "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" }, - "SpeakerVoiceConfig": { + "CitationSource": { "type": "object", + "description": "A citation to a source for a portion of a specific response.", "properties": { - "speaker": { + "uri": { "type": "string", - "description": "Required. The name of the speaker to use. Should be the same as in the prompt." + "description": "Optional. URI that is attributed as a source for a portion of the text." }, - "voiceConfig": { - "$ref": "#/components/schemas/VoiceConfig", - "description": "Required. The configuration for the voice to use." - } - }, - "description": "The configuration for a single speaker in a multi speaker setup." - }, - "GoogleSearch": { - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "type": "object", - "properties": { - "timeRangeFilter": { - "$ref": "#/components/schemas/Interval", - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "format": "int32", + "type": "integer" }, - "searchTypes": { - "$ref": "#/components/schemas/SearchTypes", - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." + "startIndex": { + "type": "integer", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "format": "int32" + }, + "license": { + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", + "type": "string" } } }, - "InputConfig": { - "description": "Configures the input to the batch request.", - "type": "object", + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", "properties": { - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." - }, - "requests": { - "$ref": "#/components/schemas/InlinedRequests", - "description": "The requests to be processed in the batch." + "urlMetadata": { + "description": "List of url context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/UrlMetadata" + } } - } + }, + "type": "object" }, - "SafetyRating": { - "type": "object", + "Part": { + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "properties": { - "category": { - "description": "Required. The category for this rating.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "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 - ] + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" }, - "probability": { - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ], - "type": "string", - "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." - ] + "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.", + "$ref": "#/components/schemas/FunctionResponse" }, - "blocked": { + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" + }, + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" + }, + "partMetadata": { + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" + }, + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" + }, + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "thought": { "type": "boolean", - "description": "Was this content blocked because of this rating?" - } - }, - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here." - }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", - "type": "object", - "properties": { - "title": { - "type": "string", - "description": "Optional. The title for the text." + "description": "Optional. Indicates if the part is thought from the model." }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "toolResponse": { + "$ref": "#/components/schemas/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`." }, - "taskType": { - "type": "string", - "description": "Optional. The task type of the embedding.", - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ] + "videoMetadata": { + "$ref": "#/components/schemas/VideoMetadata", + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data." }, - "outputDimensionality": { - "format": "int32", - "type": "integer", - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end." + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "format": "byte", + "type": "string" }, - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" + "text": { + "type": "string", + "description": "Inline text." + } + }, + "type": "object" + }, + "GroundingAttribution": { + "type": "object", + "description": "Attribution for a source that contributed to an answer.", + "properties": { + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", + "$ref": "#/components/schemas/AttributionSourceId", + "readOnly": true }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" + "content": { + "$ref": "#/components/schemas/Content", + "description": "Grounding source content that makes up this attribution." } } }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", + "RetrievalMetadata": { "type": "object", + "description": "Metadata related to retrieval in the grounding flow.", "properties": { - "totalTokenCount": { - "format": "int32", - "type": "integer", - "description": "Total number of tokens that the cached content consumes." + "googleSearchDynamicRetrievalScore": { + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", + "format": "float", + "type": "number" } } }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", - "type": "object", + "TuningTask": { + "description": "Tuning tasks that create tuned models.", "properties": { - "inlinedResponses": { + "trainingData": { + "$ref": "#/components/schemas/Dataset", + "description": "Required. Input only. Immutable. The model training data." + }, + "startTime": { + "type": "string", "readOnly": true, - "$ref": "#/components/schemas/InlinedResponses", - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." + "description": "Output only. The timestamp when tuning this model started.", + "format": "google-datetime" }, - "responsesFile": { + "hyperparameters": { + "$ref": "#/components/schemas/Hyperparameters", + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used." + }, + "snapshots": { + "description": "Output only. Metrics collected during tuning.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + } + }, + "completeTime": { + "description": "Output only. The timestamp when tuning this model completed.", + "format": "google-datetime", "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "type": "string" } - } + }, + "type": "object" }, - "TunedModel": { - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "ThinkingConfig": { "type": "object", + "description": "Config for thinking features.", "properties": { - "tunedModelSource": { - "$ref": "#/components/schemas/TunedModelSource", - "description": "Optional. TunedModel to use as the starting point for training the new model." + "thinkingLevel": { + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ], + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error." }, - "readerProjectNumbers": { - "items": { - "type": "string", - "format": "int64" - }, - "type": "array", - "description": "Optional. List of project numbers that have read access to the tuned model." + "includeThoughts": { + "type": "boolean", + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." }, - "baseModel": { + "thinkingBudget": { + "description": "The number of thoughts tokens that the model should generate.", + "format": "int32", + "type": "integer" + } + } + }, + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "properties": { + "uri": { + "description": "URI reference of the place.", + "type": "string" + }, + "text": { "type": "string", - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`" + "description": "Text description of the place answer." }, - "createTime": { - "format": "google-datetime", - "readOnly": true, + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" + }, + "title": { "type": "string", - "description": "Output only. The timestamp when this model was created." + "description": "Title of the place." }, - "topK": { - "format": "int32", - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "integer" + "placeId": { + "type": "string", + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place." + } + }, + "type": "object" + }, + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", + "properties": { + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" }, - "tuningTask": { - "$ref": "#/components/schemas/TuningTask", - "description": "Required. The tuning task that creates the tuned model." + "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" + } }, - "state": { - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], + "maxProperties": { "type": "string", - "readOnly": true, - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], - "description": "Output only. The state of the tuned model." + "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "format": "int64" }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when this model was updated.", + "minProperties": { + "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "format": "int64", "type": "string" }, - "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" + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "format": "int64", + "type": "string" }, - "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." + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" }, - "name": { - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "type": "string", - "readOnly": true + "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" + } }, - "topP": { - "format": "float", + "maximum": { "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." + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "format": "double" }, - "description": { + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "type": "string" + }, + "properties": { + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. Properties of Type.OBJECT." + }, + "minLength": { "type": "string", - "description": "Optional. A short description of this model." - } - } - }, - "Dataset": { - "description": "Dataset for training or validation.", - "type": "object", - "properties": { - "examples": { - "$ref": "#/components/schemas/TuningExamples", - "description": "Optional. Inline examples with simple input/output text." - } - } - }, - "GoogleSearchRetrieval": { - "type": "object", - "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" - } - }, - "description": "Tool to retrieve public web data for grounding, powered by Google." - }, - "SafetySetting": { - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", - "type": "object", - "properties": { - "threshold": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "format": "int64" + }, + "enum": { + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "type": "array", + "items": { + "type": "string" + } + }, + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" + }, + "required": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Optional. Required properties of Type.OBJECT." + }, + "type": { "type": "string", - "description": "Required. Controls the probability threshold at which harm is blocked.", "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." ], "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ] - }, - "category": { - "description": "Required. The category for this setting.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" ], + "description": "Required. Data type." + }, + "title": { + "description": "Optional. The title of the schema.", + "type": "string" + }, + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "format": "double", + "type": "number" + }, + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" + }, + "maxItems": { "type": "string", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ] + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "format": "int64" + }, + "maxLength": { + "description": "Optional. Maximum length of the Type.STRING", + "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." } - } + }, + "type": "object" }, - "InlinedEmbedContentResponses": { - "type": "object", + "InlinedResponses": { + "description": "The responses to the requests in the batch.", "properties": { "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", "readOnly": true, "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" + "$ref": "#/components/schemas/InlinedResponse" }, - "description": "Output only. The responses to the requests in the batch.", "type": "array" } }, - "description": "The responses to the requests in the batch." + "type": "object" }, - "GoogleMaps": { - "type": "object", - "properties": { - "enableWidget": { - "type": "boolean", - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response." - } - }, - "description": "The GoogleMaps Tool that provides geospatial context for the user's query." + "Empty": { + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "properties": {}, + "type": "object" }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", + "GenerateContentBatch": { "type": "object", + "description": "A resource representing a batch of `GenerateContent` requests.", "properties": { - "embedding": { - "$ref": "#/components/schemas/ContentEmbedding", + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" + }, + "state": { + "description": "Output only. The state of the batch.", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "readOnly": true, + "type": "string", + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ] + }, + "output": { + "description": "Output only. The output of the batch request.", "readOnly": true, - "description": "Output only. The embedding generated from the input content." + "$ref": "#/components/schemas/GenerateContentBatchOutput" }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "inputConfig": { + "$ref": "#/components/schemas/InputConfig", + "description": "Required. Input configuration of the instances on which batch processing are performed." + }, + "batchStats": { + "$ref": "#/components/schemas/BatchStats", + "readOnly": true, + "description": "Output only. Stats about the batch." + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "type": "string", + "readOnly": true + }, + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "format": "google-datetime", + "type": "string", + "readOnly": true + }, + "createTime": { + "description": "Output only. The time at which the batch was created.", + "format": "google-datetime", + "type": "string", "readOnly": true + }, + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + }, + "priority": { + "type": "string", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "format": "int64" } } }, - "ThinkingConfig": { - "description": "Config for thinking features.", + "Document": { "type": "object", + "description": "A `Document` is a collection of `Chunk`s.", "properties": { - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" + "updateTime": { + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "format": "google-datetime", + "readOnly": true, + "type": "string" }, - "thinkingBudget": { - "type": "integer", - "description": "The number of thoughts tokens that the model should generate.", - "format": "int32" + "createTime": { + "readOnly": true, + "type": "string", + "description": "Output only. The Timestamp of when the `Document` was created.", + "format": "google-datetime" }, - "thinkingLevel": { + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the Document.", + "format": "int64", + "readOnly": true, + "type": "string" + }, + "displayName": { + "type": "string", + "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\"" + }, + "state": { + "description": "Output only. Current state of the `Document`.", "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" ], + "readOnly": true, "type": "string", - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." + "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." ] - } - } - }, - "ListTunedModelsResponse": { - "type": "object", - "properties": { - "tunedModels": { + }, + "name": { + "type": "string", + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`" + }, + "customMetadata": { + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", "items": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/CustomMetadata" }, - "type": "array", - "description": "The returned Models." + "type": "array" }, - "nextPageToken": { + "mimeType": { + "description": "Output only. The mime type of the Document.", "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." + "readOnly": true } - }, - "description": "Response from `ListTunedModels` containing a paginated list of Models." + } }, - "GenerateContentBatch": { - "description": "A resource representing a batch of `GenerateContent` requests.", - "type": "object", + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", "properties": { - "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.", + "displayName": { "type": "string", - "format": "int64" + "description": "Required. The user-defined name of this batch." }, "state": { "type": "string", @@ -5518,7 +5560,6 @@ "The batch has been cancelled.", "The batch has expired." ], - "description": "Output only. The state of the batch.", "readOnly": true, "enum": [ "BATCH_STATE_UNSPECIFIED", @@ -5528,1142 +5569,1101 @@ "BATCH_STATE_FAILED", "BATCH_STATE_CANCELLED", "BATCH_STATE_EXPIRED" - ] + ], + "description": "Output only. The state of the batch." }, - "updateTime": { - "format": "google-datetime", + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" + }, + "output": { + "description": "Output only. The output of the batch request.", "readOnly": true, - "type": "string", - "description": "Output only. The time at which the batch was last updated." + "$ref": "#/components/schemas/EmbedContentBatchOutput" }, "batchStats": { "description": "Output only. Stats about the batch.", "readOnly": true, - "$ref": "#/components/schemas/BatchStats" - }, - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput", - "readOnly": true - }, - "endTime": { - "type": "string", - "description": "Output only. The time at which the batch processing completed.", - "format": "google-datetime", - "readOnly": true + "$ref": "#/components/schemas/EmbedContentBatchStats" }, "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "readOnly": true, - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." - }, - "inputConfig": { - "$ref": "#/components/schemas/InputConfig", - "description": "Required. Input configuration of the instances on which batch processing are performed." - }, - "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." - }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The time at which the batch was created.", - "type": "string" - } - } - }, - "CitationSource": { - "description": "A citation to a source for a portion of a specific response.", - "type": "object", - "properties": { - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", - "type": "string" - }, - "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" - }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", "type": "string" }, - "endIndex": { - "description": "Optional. End of the attributed segment, exclusive.", - "type": "integer", - "format": "int32" - } - } - }, - "InlinedEmbedContentRequest": { - "description": "The request to be processed in the batch.", - "type": "object", - "properties": { - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "request": { - "$ref": "#/components/schemas/EmbedContentRequest", - "description": "Required. The request to be processed in the batch." - } - } - }, - "BatchStats": { - "description": "Stats about the batch.", - "type": "object", - "properties": { - "failedRequestCount": { - "format": "int64", - "readOnly": true, - "type": "string", - "description": "Output only. The number of requests that failed to be processed." - }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "type": "string", - "readOnly": true, - "format": "int64" - }, - "requestCount": { + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "format": "google-datetime", "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests in the batch.", "type": "string" }, - "successfulRequestCount": { - "format": "int64", - "readOnly": true, + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "format": "google-datetime", "type": "string", - "description": "Output only. The number of requests that were successfully processed." - } - } - }, - "TuningSnapshot": { - "type": "object", - "properties": { - "meanLoss": { - "type": "number", - "description": "Output only. The mean loss of the training examples for this step.", - "format": "float", "readOnly": true }, - "computeTime": { + "priority": { "type": "string", - "description": "Output only. The timestamp when this metric was computed.", - "format": "google-datetime", - "readOnly": true - }, - "epoch": { - "description": "Output only. The epoch this step was part of.", - "type": "integer", - "readOnly": true, - "format": "int32" + "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" }, - "step": { - "format": "int32", + "createTime": { + "type": "string", "readOnly": true, - "type": "integer", - "description": "Output only. The tuning step." + "description": "Output only. The time at which the batch was created.", + "format": "google-datetime" } }, - "description": "Record for a single tuning step." + "type": "object" }, - "FunctionCall": { + "ReviewSnippet": { "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": { - "name": { - "type": "string", - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." - }, - "args": { - "type": "object", - "description": "Optional. The function parameters and values in JSON object format.", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", + "reviewId": { + "description": "The ID of the review snippet.", "type": "string" - } - }, - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." - }, - "GenerateContentResponse": { - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", - "type": "object", - "properties": { - "candidates": { - "items": { - "$ref": "#/components/schemas/Candidate" - }, - "description": "Candidate responses from the model.", - "type": "array" }, - "usageMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/UsageMetadata", - "description": "Output only. Metadata on the generation requests' token usage." - }, - "modelVersion": { - "description": "Output only. The model version used to generate the response.", - "type": "string", - "readOnly": true - }, - "modelStatus": { - "description": "Output only. The current model status of this model.", - "readOnly": true, - "$ref": "#/components/schemas/ModelStatus" - }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" - }, - "responseId": { - "type": "string", - "description": "Output only. response_id is used to identify each response.", - "readOnly": true - } - } - }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", - "type": "object", - "properties": { - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" - }, - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", "type": "string" - } - } - }, - "Operation": { - "type": "object", - "properties": { - "metadata": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object", - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any." - }, - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" - }, - "name": { - "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}`." - }, - "response": { - "type": "object", - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "error": { - "$ref": "#/components/schemas/Status", - "description": "The error result of the operation in case of failure or cancellation." + }, + "title": { + "type": "string", + "description": "Title of the review." + } + } + }, + "StringList": { + "description": "User provided string values assigned to a single metadata key.", + "properties": { + "values": { + "type": "array", + "items": { + "type": "string" + }, + "description": "The string values of the metadata to store." } }, - "description": "This resource represents a long-running operation that is the result of a network API call." + "type": "object" }, - "StreamableHttpTransport": { - "type": "object", + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "properties": { - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", - "type": "string", - "format": "google-duration" - }, - "terminateOnClose": { - "type": "boolean", - "description": "Whether to close the client session when the transport closes." - }, - "url": { + "fileName": { "type": "string", - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" + "description": "Required. The name of the `File` to import. Example: `files/abc-123`" }, - "headers": { - "type": "object", - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "additionalProperties": { - "type": "string" - } + "customMetadata": { + "description": "Custom metadata to be associated with the file.", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "type": "array" }, - "timeout": { - "format": "google-duration", - "description": "HTTP timeout for regular operations.", - "type": "string" + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" } }, - "description": "A transport that can stream HTTP requests and responses. Next ID: 6" + "type": "object" }, - "WhiteSpaceConfig": { - "description": "Configuration for a white space chunking algorithm [white space delimited].", + "Interval": { "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": { - "maxTokensPerChunk": { - "format": "int32", - "type": "integer", - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow." + "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", + "type": "string" }, - "maxOverlapTokens": { - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "type": "integer", - "format": "int32" + "startTime": { + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "format": "google-datetime", + "type": "string" } } }, - "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", + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", "properties": { - "codeExecutionResult": { - "$ref": "#/components/schemas/CodeExecutionResult", - "description": "Result of executing the `ExecutableCode`." + "candidatesTokensDetails": { + "description": "Output only. List of modalities that were returned in the response.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "executableCode": { - "$ref": "#/components/schemas/ExecutableCode", - "description": "Code generated by the model that is meant to be executed." + "cachedContentTokenCount": { + "type": "integer", + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "format": "int32" }, - "toolCall": { - "$ref": "#/components/schemas/ToolCall", - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API." + "promptTokensDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "toolResponse": { - "$ref": "#/components/schemas/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`." + "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" }, - "partMetadata": { - "additionalProperties": { - "description": "Properties of the object." + "toolUsePromptTokensDetails": { + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "type": "object" + "type": "array" }, - "mediaResolution": { - "$ref": "#/components/schemas/MediaResolution", - "description": "Optional. Media resolution for the input media." + "totalTokenCount": { + "type": "integer", + "description": "Total token count for the generation request (prompt + response candidates).", + "format": "int32" }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" + "candidatesTokenCount": { + "description": "Total number of tokens across all the generated response candidates.", + "format": "int32", + "type": "integer" }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", + "format": "int32", + "readOnly": true, + "type": "integer" }, - "thoughtSignature": { - "format": "byte", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "type": "string" + "cacheTokensDetails": { + "description": "Output only. List of modalities of the cached content in the request input.", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "type": "array" }, - "text": { - "description": "Inline text.", - "type": "string" + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "format": "int32", + "readOnly": true, + "type": "integer" }, - "inlineData": { - "$ref": "#/components/schemas/Blob", - "description": "Inline media bytes." + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true }, - "videoMetadata": { - "$ref": "#/components/schemas/VideoMetadata", - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data." + "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": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + } + }, + "type": "object" + }, + "GroundingChunkCustomMetadata": { + "type": "object", + "description": "User provided metadata about the GroundingFact.", + "properties": { + "numericValue": { + "type": "number", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "format": "float" }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" + "key": { + "type": "string", + "description": "The key of the metadata." }, - "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.", - "$ref": "#/components/schemas/FunctionResponse" + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" + }, + "stringListValue": { + "$ref": "#/components/schemas/GroundingChunkStringList", + "description": "Optional. A list of string values for the metadata." } } }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", + "CreateFileRequest": { "type": "object", + "description": "Request for `CreateFile`.", "properties": { - "endIndex": { + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" + } + } + }, + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", + "properties": { + "promptTokenCount": { + "description": "Output only. Number of tokens in the prompt.", "format": "int32", - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "type": "integer" + "type": "integer", + "readOnly": true }, - "text": { - "type": "string", - "description": "The text corresponding to the segment from the response." + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "type": "array" + } + }, + "type": "object" + }, + "ListTunedModelsResponse": { + "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "properties": { + "tunedModels": { + "items": { + "$ref": "#/components/schemas/TunedModel" + }, + "type": "array", + "description": "The returned Models." }, - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "type": "integer", - "format": "int32" + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + } + }, + "type": "object" + }, + "RetrievalConfig": { + "description": "Retrieval config.", + "properties": { + "latLng": { + "$ref": "#/components/schemas/LatLng", + "description": "Optional. The location of the user." }, - "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" + "languageCode": { + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "type": "string" } - } + }, + "type": "object" }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "Web": { "type": "object", + "description": "Chunk from the web.", "properties": { - "metadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The metadata to be associated with the request.", - "type": "object" + "uri": { + "readOnly": true, + "type": "string", + "description": "Output only. URI reference of the chunk." }, - "request": { - "$ref": "#/components/schemas/GenerateContentRequest", - "description": "Required. The request to be processed in the batch." + "title": { + "description": "Output only. Title of the chunk.", + "type": "string", + "readOnly": true } } }, - "ListCachedContentsResponse": { - "description": "Response with CachedContents list.", - "type": "object", + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", "properties": { - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." - }, - "cachedContents": { + "values": { + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "items": { - "$ref": "#/components/schemas/CachedContent" + "format": "float", + "type": "number" }, + "type": "array" + }, + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", "type": "array", - "description": "List of cached contents." + "items": { + "type": "integer", + "format": "int32" + } } - } + }, + "type": "object" }, - "TransferOwnershipRequest": { - "description": "Request to transfer the ownership of the tuned model.", + "UrlContext": { + "type": "object", + "description": "Tool to support URL context retrieval.", + "properties": {} + }, + "VoiceConfig": { "type": "object", + "description": "The configuration for the voice to use.", "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" + "prebuiltVoiceConfig": { + "$ref": "#/components/schemas/PrebuiltVoiceConfig", + "description": "The configuration for the prebuilt voice to use." } } }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "type": "object", + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", "properties": { - "confidenceScores": { + "cachedContents": { "items": { - "type": "number", - "format": "float" + "$ref": "#/components/schemas/CachedContent" }, "type": "array", - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices." - }, - "segment": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment", - "description": "Segment of the content this support belongs to." + "description": "List of cached contents." }, - "renderedParts": { - "type": "array", - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", - "readOnly": true, - "items": { - "type": "integer", - "format": "int32" - } + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "type": "string" + } + }, + "type": "object" + }, + "Content": { + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "properties": { + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "type": "string" }, - "groundingChunkIndices": { + "parts": { "items": { - "type": "integer", - "format": "int32" + "$ref": "#/components/schemas/Part" }, "type": "array", - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order)." + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." } }, - "description": "Grounding support." + "type": "object" }, - "Maps": { + "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" + }, + "StreamableHttpTransport": { "type": "object", + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", "properties": { - "placeId": { - "type": "string", - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place." + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" }, - "text": { - "type": "string", - "description": "Text description of the place answer." + "timeout": { + "description": "HTTP timeout for regular operations.", + "format": "google-duration", + "type": "string" }, - "title": { + "sseReadTimeout": { "type": "string", - "description": "Title of the place." + "description": "Timeout for SSE read operations.", + "format": "google-duration" }, - "uri": { - "description": "URI reference of the place.", - "type": "string" + "headers": { + "additionalProperties": { + "type": "string" + }, + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object" }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" + "terminateOnClose": { + "type": "boolean", + "description": "Whether to close the client session when the transport closes." + } + } + }, + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", + "properties": { + "tokenId": { + "type": "integer", + "description": "The candidate\u2019s token id value.", + "format": "int32" + }, + "logProbability": { + "description": "The candidate's log probability.", + "format": "float", + "type": "number" + }, + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" } }, - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place." + "type": "object" }, - "UrlContext": { + "GroundingChunk": { "type": "object", - "properties": {}, - "description": "Tool to support URL context retrieval." + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "properties": { + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" + }, + "retrievedContext": { + "$ref": "#/components/schemas/RetrievedContext", + "description": "Optional. Grounding chunk from context retrieved by the file search tool." + }, + "image": { + "$ref": "#/components/schemas/Image", + "description": "Optional. Grounding chunk from image search." + }, + "maps": { + "$ref": "#/components/schemas/Maps", + "description": "Optional. Grounding chunk from Google Maps." + } + } }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", + "ListPermissionsResponse": { "type": "object", + "description": "Response from `ListPermissions` containing a paginated list of permissions.", "properties": { - "operations": { - "type": "array", - "description": "A list of operations that matches the specified filter in the request.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + }, + "permissions": { + "description": "Returned permissions.", "items": { - "$ref": "#/components/schemas/Operation" - } + "$ref": "#/components/schemas/Permission" + }, + "type": "array" + } + } + }, + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "properties": { + "blockReason": { + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ] }, - "unreachable": { - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "safetyRatings": { "type": "array", "items": { - "type": "string" - } + "$ref": "#/components/schemas/SafetyRating" + }, + "description": "Ratings for safety of the prompt. There is at most one rating per category." + } + }, + "type": "object" + }, + "SafetyRating": { + "type": "object", + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", + "properties": { + "blocked": { + "type": "boolean", + "description": "Was this content blocked because of this rating?" + }, + "category": { + "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" + ], + "description": "Required. The category for this rating." }, - "nextPageToken": { + "probability": { "type": "string", - "description": "The standard List next-page token." + "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" + ], + "description": "Required. The probability of harm for this content." } } }, - "UrlMetadata": { + "WebSearch": { "type": "object", + "description": "Standard web search for grounding and related configurations.", + "properties": {} + }, + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" + "documents": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Document" + }, + "description": "The returned `Document`s." }, - "urlRetrievalStatus": { - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ], + "nextPageToken": { "type": "string", - "description": "Status of the url retrieval.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ] + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } }, - "description": "Context of the a single url retrieval." + "type": "object" }, - "Web": { - "description": "Chunk from the web.", - "type": "object", + "InlinedRequest": { + "description": "The request to be processed in the batch.", "properties": { - "uri": { - "readOnly": true, - "type": "string", - "description": "Output only. URI reference of the chunk." + "request": { + "$ref": "#/components/schemas/GenerateContentRequest", + "description": "Required. The request to be processed in the batch." }, - "title": { - "readOnly": true, - "type": "string", - "description": "Output only. Title of the chunk." + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" } - } + }, + "type": "object" }, - "ListPermissionsResponse": { - "type": "object", + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", "properties": { - "permissions": { - "type": "array", - "description": "Returned permissions.", - "items": { - "$ref": "#/components/schemas/Permission" - } - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "videoDuration": { + "description": "Duration of the video.", + "format": "google-duration", "type": "string" } }, - "description": "Response from `ListPermissions` containing a paginated list of permissions." + "type": "object" }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", + "Hyperparameters": { "type": "object", + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "properties": { - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "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" }, - "state": { - "description": "Output only. The state of the GeneratedFile.", - "readOnly": true, - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], - "type": "string" + "batchSize": { + "type": "integer", + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "format": "int32" }, - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", - "type": "string" + "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" }, - "mimeType": { - "description": "MIME type of the generatedFile.", - "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" } } }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", + "ListCorporaResponse": { "type": "object", + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", "properties": { - "createTime": { - "format": "google-datetime", - "readOnly": true, - "type": "string", - "description": "Output only. The timestamp of when the `File` was created." - }, - "sha256Hash": { - "readOnly": true, - "format": "byte", - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "type": "string" - }, - "displayName": { - "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", - "type": "string" - }, - "expirationTime": { - "type": "string", - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "format": "google-datetime", - "readOnly": true - }, - "sizeBytes": { - "type": "string", - "description": "Output only. Size of the file in bytes.", - "format": "int64", - "readOnly": true - }, - "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`" - }, - "mimeType": { - "readOnly": true, - "description": "Output only. MIME type of the file.", - "type": "string" - }, - "error": { - "description": "Output only. Error status if File processing failed.", - "readOnly": true, - "$ref": "#/components/schemas/Status" - }, - "uri": { - "type": "string", - "description": "Output only. The uri of the `File`.", - "readOnly": true - }, - "videoMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/VideoFileMetadata", - "description": "Output only. Metadata for a video." - }, - "source": { - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "type": "string", - "description": "Source of the File.", - "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." - ] - }, - "downloadUri": { - "type": "string", - "description": "Output only. The download uri of the `File`.", - "readOnly": true - }, - "state": { + "nextPageToken": { "type": "string", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ], - "description": "Output only. Processing state of the File.", - "readOnly": true, - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ] + "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." }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was last updated.", - "type": "string" + "corpora": { + "items": { + "$ref": "#/components/schemas/Corpus" + }, + "type": "array", + "description": "The returned corpora." } } }, - "ToolResponse": { - "type": "object", + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", "properties": { - "id": { + "mode": { "type": "string", - "description": "Optional. The identifier of the tool call this response is for." - }, - "toolType": { - "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`.", "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." + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" ], - "type": "string" + "description": "The mode of the predictor to be used in dynamic retrieval." }, - "response": { - "type": "object", - "description": "Optional. The tool response.", - "additionalProperties": { - "description": "Properties of the object." - } + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "format": "float", + "type": "number" } }, - "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" }, - "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.", + "GoogleMaps": { "type": "object", + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "properties": { - "inlineData": { - "$ref": "#/components/schemas/FunctionResponseBlob", - "description": "Inline media bytes." + "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" } } }, - "TransferOwnershipResponse": { - "type": "object", - "properties": {}, - "description": "Response from `TransferOwnership`." - }, - "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", + "LatLng": { "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": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "format": "double", + "type": "number" }, - "name": { - "type": "string", - "description": "The name of the MCPServer." + "longitude": { + "type": "number", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "format": "double" } } }, - "PromptFeedback": { - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "Candidate": { "type": "object", + "description": "A response candidate generated from the model.", "properties": { + "logprobsResult": { + "readOnly": true, + "$ref": "#/components/schemas/LogprobsResult", + "description": "Output only. Log-likelihood scores for the response tokens and top tokens" + }, + "content": { + "description": "Output only. Generated content returned from the model.", + "$ref": "#/components/schemas/Content", + "readOnly": true + }, "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "type": "array", "items": { "$ref": "#/components/schemas/SafetyRating" - }, - "type": "array", - "description": "Ratings for safety of the prompt. There is at most one rating per category." + } }, - "blockReason": { + "avgLogprobs": { + "description": "Output only. Average log probability score of the candidate.", + "format": "double", + "type": "number", + "readOnly": true + }, + "urlContextMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/UrlContextMetadata", + "description": "Output only. Metadata related to url context retrieval tool." + }, + "finishMessage": { "type": "string", - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], + "readOnly": true, + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set." + }, + "citationMetadata": { + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "readOnly": true, + "$ref": "#/components/schemas/CitationMetadata" + }, + "tokenCount": { + "description": "Output only. Token count for this candidate.", + "format": "int32", + "readOnly": true, + "type": "integer" + }, + "index": { + "readOnly": true, + "type": "integer", + "description": "Output only. Index of the candidate in the list of response candidates.", + "format": "int32" + }, + "finishReason": { "enum": [ - "BLOCK_REASON_UNSPECIFIED", + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", "SAFETY", + "RECITATION", + "LANGUAGE", "OTHER", "BLOCKLIST", "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ] - } - } - }, - "TuningExample": { - "type": "object", - "properties": { - "textInput": { - "description": "Optional. Text model input.", - "type": "string" - }, - "output": { - "description": "Required. The expected model output.", - "type": "string" - } - }, - "description": "A single example for tuning." - }, - "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" - }, - "numericValue": { - "type": "number", - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", - "format": "float" - }, - "key": { + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE" + ], + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", "type": "string", - "description": "The key of the metadata." + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response." + ], + "readOnly": true }, - "stringValue": { - "type": "string", - "description": "Optional. The string value of the metadata." + "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" + }, + "type": "array" + }, + "groundingMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata", + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls." } } }, - "InlinedResponse": { - "description": "The response to a single request in the batch.", - "type": "object", + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", "properties": { - "error": { - "$ref": "#/components/schemas/Status", - "readOnly": true, - "description": "Output only. The error encountered while processing the request." + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" }, "metadata": { - "description": "Output only. The metadata associated with the request.", "type": "object", - "readOnly": true, + "description": "Optional. The metadata to be associated with the request.", "additionalProperties": { "description": "Properties of the object." } - }, - "response": { - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse", - "readOnly": true } - } + }, + "type": "object" }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", - "type": "object", + "PrebuiltVoiceConfig": { + "description": "The configuration for the prebuilt speaker to use.", "properties": { - "functionCallingConfig": { - "$ref": "#/components/schemas/FunctionCallingConfig", - "description": "Optional. Function calling config." - }, - "includeServerSideToolInvocations": { - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", - "type": "boolean" - }, - "retrievalConfig": { - "$ref": "#/components/schemas/RetrievalConfig", - "description": "Optional. Retrieval config." + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" } - } + }, + "type": "object" }, - "Content": { - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "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": { - "parts": { + "mcpServers": { + "type": "array", "items": { - "$ref": "#/components/schemas/Part" + "$ref": "#/components/schemas/McpServer" }, - "type": "array", - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." + "description": "Optional. MCP Servers to connect to." + }, + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" + }, + "googleSearchRetrieval": { + "$ref": "#/components/schemas/GoogleSearchRetrieval", + "description": "Optional. Retrieval tool that is powered by Google search." + }, + "fileSearch": { + "$ref": "#/components/schemas/FileSearch", + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora." + }, + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" + }, + "functionDeclarations": { + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + }, + "type": "array" }, - "role": { - "type": "string", - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset." + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" + }, + "googleMaps": { + "$ref": "#/components/schemas/GoogleMaps", + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." } } }, - "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`.", + "GroundingChunkStringList": { "type": "object", + "description": "A list of string values.", "properties": { - "generateContentRequest": { - "$ref": "#/components/schemas/GenerateContentRequest", - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both." - }, - "contents": { + "values": { "type": "array", - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", "items": { - "$ref": "#/components/schemas/Content" - } + "type": "string" + }, + "description": "The string values of the list." } } }, - "ListFileSearchStoresResponse": { + "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": { - "fileSearchStores": { + "fileSearchStoreNames": { + "type": "array", "items": { - "$ref": "#/components/schemas/FileSearchStore" + "type": "string" }, - "description": "The returned rag_stores.", - "type": "array" + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - } - }, - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." - }, - "PlaceAnswerSources": { - "type": "object", - "properties": { - "reviewSnippets": { - "items": { - "$ref": "#/components/schemas/ReviewSnippet" - }, - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", - "type": "array" + "topK": { + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "format": "int32", + "type": "integer" + }, + "metadataFilter": { + "type": "string", + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks." } - }, - "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." + } }, - "EmbedContentBatchOutput": { - "type": "object", + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "properties": { - "inlinedResponses": { - "$ref": "#/components/schemas/InlinedEmbedContentResponses", - "readOnly": true, - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." - }, - "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.", + "data": { "type": "string", - "readOnly": true + "description": "Raw bytes for media formats.", + "format": "byte" + }, + "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" } }, - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field." + "type": "object" }, - "InlinedResponses": { + "CitationMetadata": { "type": "object", + "description": "A collection of source attributions for a piece of content.", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "type": "array", - "readOnly": true, + "citationSources": { "items": { - "$ref": "#/components/schemas/InlinedResponse" - } + "$ref": "#/components/schemas/CitationSource" + }, + "type": "array", + "description": "Citations to sources for a specific response." } - }, - "description": "The responses to the requests in the batch." + } }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", + "SearchTypes": { "type": "object", + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "properties": { - "urlMetadata": { - "type": "array", - "description": "List of url context.", - "items": { - "$ref": "#/components/schemas/UrlMetadata" - } + "imageSearch": { + "$ref": "#/components/schemas/ImageSearch", + "description": "Optional. Enables image search. Image bytes are returned." + }, + "webSearch": { + "$ref": "#/components/schemas/WebSearch", + "description": "Optional. Enables web search. Only text results are returned." } } }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", + "FileSearchStore": { "type": "object", + "description": "A `FileSearchStore` is a collection of `Document`s.", "properties": { - "completeTime": { - "format": "google-datetime", + "name": { + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "type": "string", + "readOnly": true + }, + "pendingDocumentsCount": { "readOnly": true, "type": "string", - "description": "Output only. The timestamp when tuning this model completed." + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "format": "int64" }, - "hyperparameters": { - "$ref": "#/components/schemas/Hyperparameters", - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used." + "displayName": { + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "type": "string" }, - "startTime": { + "failedDocumentsCount": { + "type": "string", + "readOnly": true, + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "format": "int64" + }, + "sizeBytes": { "readOnly": true, + "type": "string", + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "format": "int64" + }, + "createTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", "format": "google-datetime", - "description": "Output only. The timestamp when tuning this model started.", + "readOnly": true, "type": "string" }, - "snapshots": { - "type": "array", - "description": "Output only. Metrics collected during tuning.", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/TuningSnapshot" - } + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "format": "google-datetime", + "type": "string", + "readOnly": true }, - "trainingData": { - "$ref": "#/components/schemas/Dataset", - "description": "Required. Input only. Immutable. The model training data." + "activeDocumentsCount": { + "type": "string", + "readOnly": true, + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "format": "int64" } } }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", + "BatchEmbedContentsRequest": { "type": "object", + "description": "Batch request to get embeddings from the model for a list of prompts.", "properties": { - "candidates": { + "requests": { "type": "array", - "description": "Sorted by log probability in descending order.", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } + "$ref": "#/components/schemas/EmbedContentRequest" + }, + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`." } } }, - "WebSearch": { - "description": "Standard web search for grounding and related configurations.", - "type": "object", - "properties": {} - }, - "ListDocumentsResponse": { - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", - "type": "object", + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", "properties": { - "documents": { - "description": "The returned `Document`s.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Document" - } + "cachedContentTokenCount": { + "type": "integer", + "description": "Number of tokens in the cached part of the prompt (the cached content).", + "format": "int32" }, - "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" - } - } - }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", - "type": "object", - "properties": { - "customMetadata": { + "promptTokensDetails": { + "description": "Output only. List of modalities that were processed in the request input.", "type": "array", - "description": "Custom metadata to be associated with the data.", + "readOnly": true, "items": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" - }, - "mimeType": { - "type": "string", - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content." - }, - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" - } - } - }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", - "type": "object", - "properties": { - "citationSources": { + "cacheTokensDetails": { + "readOnly": true, "items": { - "$ref": "#/components/schemas/CitationSource" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Citations to sources for a specific response.", - "type": "array" + "type": "array", + "description": "Output only. List of modalities that were processed in the cached content." + }, + "totalTokens": { + "type": "integer", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", + "format": "int32" } - } + }, + "type": "object" }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", - "type": "object", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", "properties": { - "promptTokenCount": { - "format": "int32", - "readOnly": true, + "totalTokenCount": { "type": "integer", - "description": "Output only. Number of tokens in the prompt." - }, - "promptTokenDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array" + "description": "Total number of tokens that the cached content consumes.", + "format": "int32" } - } + }, + "type": "object" } } }