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 2fb4a69..3e9fb9b 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( /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Stats about the batch. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// 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. @@ -412,6 +409,9 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// 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. + /// /// /// Configures the input to the batch request. /// @@ -421,22 +421,22 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, + string? model = default, string? priority = default, string? displayName = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - Model = model, BatchStats = batchStats, - Output = output, + Model = model, Priority = priority, DisplayName = displayName, + Output = output, InputConfig = inputConfig, }; 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 5a074aa..a44ff8d 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 @@ -397,21 +397,21 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Stats about the batch. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Required. The user-defined name of this batch. /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// /// /// Configures the input to the batch request. /// @@ -421,22 +421,22 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, global::Google.Gemini.BatchStats? batchStats = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, string? priority = default, + string? model = default, string? displayName = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - Model = model, BatchStats = batchStats, - Output = output, Priority = priority, + Model = model, DisplayName = displayName, + Output = output, InputConfig = inputConfig, }; 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 34464cc..b96f45e 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 @@ -380,60 +380,60 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Metadata on the usage of the cached content. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// 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. + /// + /// Metadata on the usage of the cached content. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Required. Immutable. The name of the `Model` to use for cached content 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. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? displayName = default, - string? model = default, - string? expireTime = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, string? ttl = default, global::System.Collections.Generic.IList? contents = default, + string? expireTime = default, + string? displayName = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = 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 { - UsageMetadata = usageMetadata, - DisplayName = displayName, - Model = model, - ExpireTime = expireTime, - Tools = tools, - SystemInstruction = systemInstruction, Ttl = ttl, Contents = contents, + ExpireTime = expireTime, + DisplayName = displayName, ToolConfig = toolConfig, + UsageMetadata = usageMetadata, + Model = model, + SystemInstruction = systemInstruction, + 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 f527692..3ce38da 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 @@ -397,32 +397,32 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Metadata on the usage of the cached content. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// 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. + /// + /// Metadata on the usage of the cached content. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Required. Immutable. The name of the `Model` to use for cached content 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. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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 @@ -430,29 +430,29 @@ partial void ProcessCachedContentsPatchResponseContent( public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? displayName = default, - string? model = default, - string? expireTime = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, string? ttl = default, global::System.Collections.Generic.IList? contents = default, + string? expireTime = default, + string? displayName = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = 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 { - UsageMetadata = usageMetadata, - DisplayName = displayName, - Model = model, - ExpireTime = expireTime, - Tools = tools, - SystemInstruction = systemInstruction, Ttl = ttl, Contents = contents, + ExpireTime = expireTime, + DisplayName = displayName, ToolConfig = toolConfig, + UsageMetadata = usageMetadata, + Model = model, + SystemInstruction = systemInstruction, + 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 c2e9902..61a7c63 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 @@ -387,31 +387,31 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - Role = role, GranteeType = granteeType, EmailAddress = emailAddress, + Role = role, }; return await CorporaPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs index 6a5e165..d104c54 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 @@ -404,15 +404,15 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -420,17 +420,17 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string permissionsId, string corporaId, string? updateMask = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - Role = role, GranteeType = granteeType, EmailAddress = emailAddress, + Role = role, }; return await CorporaPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs index e589842..79d6732 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 DynamicGenerateContentAsync( string dynamicId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - GenerationConfig = generationConfig, ServiceTier = serviceTier, - Model = model, - Tools = tools, - SystemInstruction = systemInstruction, - SafetySettings = safetySettings, Contents = contents, - ToolConfig = toolConfig, Store = store, + ToolConfig = toolConfig, + SafetySettings = safetySettings, + Model = model, + SystemInstruction = systemInstruction, + Tools = tools, + CachedContent = cachedContent, + GenerationConfig = generationConfig, }; return await DynamicGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs index 73a22d0..6dde78c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 DynamicStreamGenerateContentAsync( string dynamicId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - GenerationConfig = generationConfig, ServiceTier = serviceTier, - Model = model, - Tools = tools, - SystemInstruction = systemInstruction, - SafetySettings = safetySettings, Contents = contents, - ToolConfig = toolConfig, Store = store, + ToolConfig = toolConfig, + SafetySettings = safetySettings, + Model = model, + SystemInstruction = systemInstruction, + Tools = tools, + CachedContent = cachedContent, + GenerationConfig = generationConfig, }; return await DynamicStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs index a4603e9..601cbe5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - GenerationConfig = generationConfig, ServiceTier = serviceTier, - Model = model, - Tools = tools, - SystemInstruction = systemInstruction, - SafetySettings = safetySettings, Contents = contents, - ToolConfig = toolConfig, Store = store, + ToolConfig = toolConfig, + SafetySettings = safetySettings, + Model = model, + SystemInstruction = systemInstruction, + Tools = tools, + CachedContent = cachedContent, + GenerationConfig = generationConfig, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( 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 5e4fce8..63289cd 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. /// /// - /// - /// 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. /// + /// + /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. + /// /// 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::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CountTokensRequest { - Contents = contents, GenerateContentRequest = generateContentRequest, + Contents = contents, }; 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 64f9dfe..1e9694b 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 @@ -387,8 +387,8 @@ 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. /// /// /// Optional. 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. @@ -399,29 +399,29 @@ partial void ProcessModelsEmbedContentResponseContent( /// /// Optional. 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. + /// + /// 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, string? title = default, global::Google.Gemini.EmbedContentRequestTaskType? taskType = default, int? outputDimensionality = default, - global::Google.Gemini.Content? content = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { - Model = model, + Content = content, Title = title, TaskType = taskType, OutputDimensionality = outputDimensionality, - Content = content, + Model = model, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index 441ed51..cb14a1c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 ModelsGenerateContentAsync( string modelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - GenerationConfig = generationConfig, ServiceTier = serviceTier, - Model = model, - Tools = tools, - SystemInstruction = systemInstruction, - SafetySettings = safetySettings, Contents = contents, - ToolConfig = toolConfig, Store = store, + ToolConfig = toolConfig, + SafetySettings = safetySettings, + Model = model, + SystemInstruction = systemInstruction, + Tools = tools, + CachedContent = cachedContent, + GenerationConfig = generationConfig, }; return await ModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs index 5232c60..6fa1ad6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 ModelsStreamGenerateContentAsync( string modelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - GenerationConfig = generationConfig, ServiceTier = serviceTier, - Model = model, - Tools = tools, - SystemInstruction = systemInstruction, - SafetySettings = safetySettings, Contents = contents, - ToolConfig = toolConfig, Store = store, + ToolConfig = toolConfig, + SafetySettings = safetySettings, + Model = model, + SystemInstruction = systemInstruction, + Tools = tools, + CachedContent = cachedContent, + GenerationConfig = generationConfig, }; return await ModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs index c6840ba..581de3d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - GenerationConfig = generationConfig, ServiceTier = serviceTier, - Model = model, - Tools = tools, - SystemInstruction = systemInstruction, - SafetySettings = safetySettings, Contents = contents, - ToolConfig = toolConfig, Store = store, + ToolConfig = toolConfig, + SafetySettings = safetySettings, + Model = model, + SystemInstruction = systemInstruction, + Tools = tools, + CachedContent = cachedContent, + GenerationConfig = generationConfig, }; var __enumerable = ModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs index 5ebe449..d972176 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 @@ -390,17 +390,14 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -408,8 +405,11 @@ partial void ProcessTunedModelsCreateResponseContent( /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Optional. A short description of this model. @@ -422,13 +422,13 @@ partial void ProcessTunedModelsCreateResponseContent( /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, + float? topP = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, string? displayName = default, - global::Google.Gemini.TuningTask? tuningTask = default, + int? topK = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? description = default, float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, @@ -436,13 +436,13 @@ partial void ProcessTunedModelsCreateResponseContent( { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, - ReaderProjectNumbers = readerProjectNumbers, TunedModelSource = tunedModelSource, - TopK = topK, + TopP = topP, + TuningTask = tuningTask, BaseModel = baseModel, DisplayName = displayName, - TuningTask = tuningTask, + TopK = topK, + ReaderProjectNumbers = readerProjectNumbers, Description = description, Temperature = temperature, }; 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 98dff96..c236b33 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 TunedModelsGenerateContentAsync( string tunedModelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - GenerationConfig = generationConfig, ServiceTier = serviceTier, - Model = model, - Tools = tools, - SystemInstruction = systemInstruction, - SafetySettings = safetySettings, Contents = contents, - ToolConfig = toolConfig, Store = store, + ToolConfig = toolConfig, + SafetySettings = safetySettings, + Model = model, + SystemInstruction = systemInstruction, + Tools = tools, + CachedContent = cachedContent, + GenerationConfig = generationConfig, }; return await TunedModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs index 07ccf8f..5989e72 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 @@ -397,17 +397,14 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -415,8 +412,11 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Optional. A short description of this model. @@ -430,13 +430,13 @@ partial void ProcessTunedModelsPatchResponseContent( public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, + float? topP = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, string? displayName = default, - global::Google.Gemini.TuningTask? tuningTask = default, + int? topK = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? description = default, float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, @@ -444,13 +444,13 @@ partial void ProcessTunedModelsPatchResponseContent( { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, - ReaderProjectNumbers = readerProjectNumbers, TunedModelSource = tunedModelSource, - TopK = topK, + TopP = topP, + TuningTask = tuningTask, BaseModel = baseModel, DisplayName = displayName, - TuningTask = tuningTask, + TopK = topK, + ReaderProjectNumbers = readerProjectNumbers, Description = description, Temperature = temperature, }; 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 badbf15..00e6a37 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 @@ -387,31 +387,31 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// Create a permission to a specific resource. /// /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - Role = role, GranteeType = granteeType, EmailAddress = emailAddress, + Role = role, }; return await TunedModelsPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs index d336db3..03fa5f1 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 @@ -404,15 +404,15 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -420,17 +420,17 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string tunedModelsId, string permissionsId, string? updateMask = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { - Role = role, GranteeType = granteeType, EmailAddress = emailAddress, + Role = role, }; return await TunedModelsPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs index d3e77d2..51697a9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - GenerationConfig = generationConfig, ServiceTier = serviceTier, - Model = model, - Tools = tools, - SystemInstruction = systemInstruction, - SafetySettings = safetySettings, Contents = contents, - ToolConfig = toolConfig, Store = store, + ToolConfig = toolConfig, + SafetySettings = safetySettings, + Model = model, + SystemInstruction = systemInstruction, + Tools = tools, + CachedContent = cachedContent, + GenerationConfig = generationConfig, }; return await TunedModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index 3e822d9..9d5edec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - CachedContent = cachedContent, - GenerationConfig = generationConfig, ServiceTier = serviceTier, - Model = model, - Tools = tools, - SystemInstruction = systemInstruction, - SafetySettings = safetySettings, Contents = contents, - ToolConfig = toolConfig, Store = store, + ToolConfig = toolConfig, + SafetySettings = safetySettings, + Model = model, + SystemInstruction = systemInstruction, + Tools = tools, + CachedContent = cachedContent, + GenerationConfig = generationConfig, }; var __enumerable = TunedModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs index c82ad97..fbd3ba5 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 /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Stats about the batch. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// 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. @@ -40,6 +37,9 @@ public partial interface IGeminiClient /// /// 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. + /// /// /// Configures the input to the batch request. /// @@ -49,11 +49,11 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, + string? model = default, string? priority = default, string? displayName = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index d439852..379d789 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 @@ -25,21 +25,21 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Stats about the batch. /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Required. The user-defined name of this batch. /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// /// /// Configures the input to the batch request. /// @@ -49,11 +49,11 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, global::Google.Gemini.BatchStats? batchStats = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, string? priority = default, + string? model = default, string? displayName = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index 5460339..7f1f954 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 @@ -19,46 +19,46 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Metadata on the usage of the cached content. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// 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. + /// + /// Metadata on the usage of the cached content. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Required. Immutable. The name of the `Model` to use for cached content 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. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? displayName = default, - string? model = default, - string? expireTime = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, string? ttl = default, global::System.Collections.Generic.IList? contents = default, + string? expireTime = default, + string? displayName = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = 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 330851a..eff7e09 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// /// - /// - /// Metadata on the usage of the cached content. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// 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. + /// + /// Metadata on the usage of the cached content. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Required. Immutable. The name of the `Model` to use for cached content 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. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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 @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - string? displayName = default, - string? model = default, - string? expireTime = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, string? ttl = default, global::System.Collections.Generic.IList? contents = default, + string? expireTime = default, + string? displayName = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = 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 e6352a7..92284c1 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 @@ -22,23 +22,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs index f49f85d..07ba825 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 @@ -28,15 +28,15 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -44,9 +44,9 @@ public partial interface IGeminiClient string permissionsId, string corporaId, string? updateMask = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs index 32e0e9a..614c29d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 DynamicGenerateContentAsync( string dynamicId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 94a2c89..61bab0e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 DynamicStreamGenerateContentAsync( string dynamicId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 cab906f..c9dc80a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 3de073d..5fd7ed1 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. /// /// - /// - /// 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. /// + /// + /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. + /// /// 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::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index 481513d..915a5b9 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 @@ -22,8 +22,8 @@ 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. /// /// /// Optional. 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. @@ -34,19 +34,19 @@ public partial interface IGeminiClient /// /// Optional. 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. + /// + /// 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, string? title = default, global::Google.Gemini.EmbedContentRequestTaskType? taskType = default, int? outputDimensionality = default, - global::Google.Gemini.Content? content = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index 34979d4..66a769b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 ModelsGenerateContentAsync( string modelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 8096b3a..7b21ea5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 ModelsStreamGenerateContentAsync( string modelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 dbdfba0..c495761 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 582d46e..d8a97fc 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 @@ -22,17 +22,14 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -40,8 +37,11 @@ public partial interface IGeminiClient /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Optional. A short description of this model. @@ -54,13 +54,13 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, + float? topP = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, string? displayName = default, - global::Google.Gemini.TuningTask? tuningTask = default, + int? topK = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? description = default, float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = 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 ae70bfa..1f08912 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 TunedModelsGenerateContentAsync( string tunedModelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 a3ade84..f796626 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 @@ -25,17 +25,14 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -43,8 +40,11 @@ public partial interface IGeminiClient /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Optional. A short description of this model. @@ -58,13 +58,13 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? topP = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, + float? topP = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, string? displayName = default, - global::Google.Gemini.TuningTask? tuningTask = default, + int? topK = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? description = default, float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = 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 0b0f721..10d0529 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 @@ -22,23 +22,23 @@ public partial interface IGeminiClient /// Create a permission to a specific resource. /// /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs index 7becdff..8cd2556 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 @@ -28,15 +28,15 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -44,9 +44,9 @@ public partial interface IGeminiClient string tunedModelsId, string permissionsId, string? updateMask = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs index b4bef5b..05857bd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// 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}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 bf7424c..8d1fa9a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - string? cachedContent = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - string? model = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? safetySettings = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? safetySettings = default, + string? model = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = 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 75b2c20..f14d017 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,10 +13,6 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), @@ -25,50 +21,34 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - - 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.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), @@ -77,34 +57,46 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), @@ -113,319 +105,327 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.UnixTimestampJsonConverter), })] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.JsonSerializerContextTypes))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] - [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.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponses))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [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.InlinedResponses))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [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 1902911..c41c10c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,1115 +28,1115 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type0 { get; set; } + public global::Google.Gemini.InlinedResponses? Type0 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type1 { get; set; } + public global::System.Collections.Generic.IList? Type1 { get; set; } /// /// /// - public string? Type2 { get; set; } + public global::Google.Gemini.InlinedResponse? Type2 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type3 { get; set; } + public global::Google.Gemini.GenerationConfig? Type3 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type4 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type4 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type5 { get; set; } + public float? Type5 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type6 { get; set; } + public global::Google.Gemini.Schema? Type6 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type7 { get; set; } + public object? Type7 { get; set; } /// /// /// - public object? Type8 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type8 { get; set; } /// /// /// - public int? Type9 { get; set; } + public bool? Type9 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type10 { get; set; } + public int? Type10 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type11 { get; set; } + public global::Google.Gemini.SpeechConfig? Type11 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type12 { get; set; } + public string? Type12 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type13 { get; set; } + public global::Google.Gemini.ImageConfig? Type13 { get; set; } /// /// /// - public bool? Type14 { get; set; } + public global::System.Collections.Generic.IList? Type14 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type15 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type15 { get; set; } /// /// /// - public float? Type16 { get; set; } + public global::System.Collections.Generic.IList? Type16 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type17 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type17 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type18 { get; set; } + public global::System.Collections.Generic.IList? Type18 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type19 { get; set; } + public global::Google.Gemini.GeneratedFile? Type19 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type20 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type20 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type21 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type21 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type22 { get; set; } + public global::Google.Gemini.BatchStats? Type22 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type23 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type23 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type24 { get; set; } + public global::Google.Gemini.InputConfig? Type24 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type25 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type25 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type26 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type26 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type27 { get; set; } + public global::Google.Gemini.Candidate? Type27 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type28 { get; set; } + public global::Google.Gemini.CitationMetadata? Type28 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type29 { get; set; } + public global::System.Collections.Generic.IList? Type29 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type30 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type30 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type31 { get; set; } + public double? Type31 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type32 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type32 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type33 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type33 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type34 { get; set; } + public global::System.Collections.Generic.IList? Type34 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type35 { get; set; } + public global::Google.Gemini.SafetyRating? Type35 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type36 { get; set; } + public global::Google.Gemini.LogprobsResult? Type36 { get; set; } /// /// /// - public global::Google.Gemini.File? Type37 { get; set; } + public global::Google.Gemini.Content? Type37 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type38 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type38 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type39 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type39 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type40 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type40 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type41 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type41 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type42 { get; set; } + public byte[]? Type42 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type43 { get; set; } + public global::Google.Gemini.ToolConfig? Type43 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type44 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type44 { get; set; } /// /// /// - public byte[]? Type45 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type45 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type46 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type46 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type47 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type47 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type48 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type48 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type49 { get; set; } + public global::System.Collections.Generic.Dictionary? Type49 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type50 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type50 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type51 { get; set; } + public global::System.Collections.Generic.IList? Type51 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type52 { get; set; } + public global::Google.Gemini.FileSearchStore? Type52 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type53 { get; set; } + public global::Google.Gemini.Empty? Type53 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type54 { get; set; } + public global::Google.Gemini.GoogleMaps? Type54 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type55 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type55 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type56 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type56 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type57 { get; set; } + public global::System.Collections.Generic.IList? Type57 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type58 { get; set; } + public global::Google.Gemini.Operation? Type58 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type59 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type59 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type60 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type60 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type61 { get; set; } + public global::System.Collections.Generic.IList? Type61 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type62 { get; set; } + public global::Google.Gemini.CachedContent? Type62 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type63 { get; set; } + public global::Google.Gemini.TuningExamples? Type63 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type64 { get; set; } + public global::System.Collections.Generic.IList? Type64 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type65 { get; set; } + public global::Google.Gemini.TuningExample? Type65 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type66 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type66 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type67 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type67 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type68 { get; set; } + public global::Google.Gemini.Status? Type68 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type69 { get; set; } + public global::Google.Gemini.ToolResponse? Type69 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type70 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type70 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type71 { get; set; } + public global::System.Collections.Generic.IList? Type71 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type72 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type72 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type73 { get; set; } + public global::System.Collections.Generic.IList? Type73 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type74 { get; set; } + public global::Google.Gemini.TopCandidates? Type74 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type75 { get; set; } + public global::Google.Gemini.LatLng? Type75 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type76 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type76 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type77 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type77 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type78 { get; set; } + public global::Google.Gemini.Web? Type78 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type79 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type79 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type80 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type80 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type81 { get; set; } + public global::System.Collections.Generic.IList? Type81 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type82 { get; set; } + public global::System.Collections.Generic.IList? Type82 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type83 { get; set; } + public global::Google.Gemini.SafetySetting? Type83 { get; set; } /// /// /// - public double? Type84 { get; set; } + public global::System.Collections.Generic.IList? Type84 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type85 { get; set; } + public global::Google.Gemini.Tool? Type85 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type86 { get; set; } + public global::Google.Gemini.CodeExecution? Type86 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type87 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type87 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type88 { get; set; } + public global::System.Collections.Generic.IList? Type88 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type89 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type89 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type90 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type90 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type91 { get; set; } + public global::System.Collections.Generic.IList? Type91 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type92 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type92 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type93 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type93 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type94 { get; set; } + public global::Google.Gemini.Model? Type94 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type95 { get; set; } + public global::Google.Gemini.SearchTypes? Type95 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type96 { get; set; } + public global::Google.Gemini.WebSearch? Type96 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type97 { get; set; } + public global::Google.Gemini.ImageSearch? Type97 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type98 { get; set; } + public global::Google.Gemini.UrlMetadata? Type98 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type99 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type99 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type100 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type100 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type101 { get; set; } + public global::Google.Gemini.CitationSource? Type101 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type102 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type102 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type103 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type103 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type104 { get; set; } + public global::System.Collections.Generic.IList? Type104 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type105 { get; set; } + public global::Google.Gemini.File? Type105 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type106 { get; set; } + public global::Google.Gemini.GroundingChunk? Type106 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type107 { get; set; } + public global::Google.Gemini.RetrievedContext? Type107 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type108 { get; set; } + public global::Google.Gemini.Image? Type108 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type109 { get; set; } + public global::Google.Gemini.Maps? Type109 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type110 { get; set; } + public global::System.Collections.Generic.IList? Type110 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type111 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type111 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type112 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type112 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type113 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type113 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type114 { get; set; } + public global::System.Collections.Generic.IList? Type114 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type115 { get; set; } + public global::Google.Gemini.CustomMetadata? Type115 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type116 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type116 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type117 { get; set; } + public global::System.Collections.Generic.IList? Type117 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type118 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type118 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type119 { get; set; } + public global::Google.Gemini.TunedModel? Type119 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type120 { get; set; } + public global::Google.Gemini.TunedModelSource? Type120 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type121 { get; set; } + public global::Google.Gemini.TuningTask? Type121 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type122 { get; set; } + public global::Google.Gemini.TunedModelState? Type122 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type123 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type123 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type124 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type124 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type125 { get; set; } + public global::Google.Gemini.PromptFeedback? Type125 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type126 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type126 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type127 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type127 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type128 { get; set; } + public global::Google.Gemini.Dataset? Type128 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type129 { get; set; } + public global::Google.Gemini.ComputerUse? Type129 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type130 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type130 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type131 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type131 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type132 { get; set; } + public global::Google.Gemini.FunctionCall? Type132 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type133 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type133 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type134 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type134 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type135 { get; set; } + public global::System.Collections.Generic.IList? Type135 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type136 { get; set; } + public global::Google.Gemini.Part? Type136 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type137 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type137 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type138 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type138 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type139 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type139 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type140 { get; set; } + public global::System.Collections.Generic.IList? Type140 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type141 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type141 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type142 { get; set; } + public global::Google.Gemini.Document? Type142 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type143 { get; set; } + public global::Google.Gemini.DocumentState? Type143 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type144 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type144 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type145 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type145 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type146 { get; set; } + public global::System.Collections.Generic.IList? Type146 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type147 { get; set; } + public global::Google.Gemini.Corpus? Type147 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type148 { get; set; } + public global::Google.Gemini.McpServer? Type148 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type149 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type149 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type150 { get; set; } + public global::Google.Gemini.Interval? Type150 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type151 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type151 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type152 { get; set; } + public global::System.Collections.Generic.IList? Type152 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type153 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type153 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type154 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type154 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type155 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type155 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type156 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type156 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type157 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type157 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type158 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type158 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type159 { get; set; } + public global::System.Collections.Generic.IList? Type159 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type160 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type160 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type161 { get; set; } + public global::Google.Gemini.GoogleSearch? Type161 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type162 { get; set; } + public global::System.Collections.Generic.IList? Type162 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type163 { get; set; } + public global::Google.Gemini.InlinedRequests? Type163 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type164 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type164 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type165 { get; set; } + public global::System.Collections.Generic.IList? Type165 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type166 { get; set; } + public global::Google.Gemini.Blob? Type166 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type167 { get; set; } + public global::Google.Gemini.ExecutableCode? Type167 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type168 { get; set; } + public global::Google.Gemini.FileData? Type168 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type169 { get; set; } + public global::Google.Gemini.ToolCall? Type169 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type170 { get; set; } + public global::Google.Gemini.VideoMetadata? Type170 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type171 { get; set; } + public global::Google.Gemini.FunctionResponse? Type171 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type172 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type172 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type173 { get; set; } + public global::System.Collections.Generic.IList? Type173 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type174 { get; set; } + public global::System.Collections.Generic.IList? Type174 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type175 { get; set; } + public global::Google.Gemini.StringList? Type175 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type176 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type176 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type177 { get; set; } + public global::System.Collections.Generic.IList? Type177 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type178 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type178 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type179 { get; set; } + public global::Google.Gemini.VoiceConfig? Type179 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type180 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type180 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type181 { get; set; } + public global::Google.Gemini.Permission? Type181 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type182 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type182 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type183 { get; set; } + public global::Google.Gemini.PermissionRole? Type183 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type184 { get; set; } + public global::Google.Gemini.ModelStatus? Type184 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type185 { get; set; } + public global::System.Collections.Generic.IList? Type185 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type186 { get; set; } + public global::Google.Gemini.UsageMetadata? Type186 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type187 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type187 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type188 { get; set; } + public global::System.Collections.Generic.IList? Type188 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type189 { get; set; } + public global::Google.Gemini.InlinedRequest? Type189 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type190 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type190 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type191 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type191 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type192 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type192 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type193 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type193 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type194 { get; set; } + public global::System.Collections.Generic.IList? Type194 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type195 { get; set; } + public global::Google.Gemini.UrlContext? Type195 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type196 { get; set; } + public global::System.Collections.Generic.IList? Type196 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type197 { get; set; } + public global::System.Collections.Generic.IList? Type197 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type198 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type198 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type199 { get; set; } + public global::Google.Gemini.FileSearch? Type199 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type200 { get; set; } + public global::System.Collections.Generic.IList? Type200 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type201 { get; set; } + public global::Google.Gemini.Hyperparameters? Type201 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type202 { get; set; } + public global::System.Collections.Generic.IList? Type202 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type203 { get; set; } + public global::System.Collections.Generic.IList? Type203 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type204 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type204 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type205 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type205 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type206 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type206 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type207 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type207 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type208 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type208 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type209 { get; set; } + public global::System.Collections.Generic.IList? Type209 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type210 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type210 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type211 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type211 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type212 { get; set; } + public global::Google.Gemini.FileState? Type212 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type213 { get; set; } + public global::Google.Gemini.FileSource? Type213 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type214 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type214 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type215 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type215 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type216 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type216 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type217 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type217 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type218 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type218 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type219 { get; set; } + public global::System.Collections.Generic.IList? Type219 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type220 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type220 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type221 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type221 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type222 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type222 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type223 { get; set; } + public global::System.Collections.Generic.IList? Type223 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type224 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type224 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type225 { get; set; } + public global::System.Collections.Generic.IList? Type225 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type226 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type226 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type228 { get; set; } + public global::Google.Gemini.SchemaType? Type228 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type229 { get; set; } + public global::System.Collections.Generic.IList? Type229 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type230 { get; set; } + public global::System.Collections.Generic.Dictionary? Type230 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type231 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type231 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type232 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type232 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType29 { get; set; } + public global::System.Collections.Generic.List? ListType29 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType38 { get; set; } + public global::System.Collections.Generic.List? ListType38 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType39 { get; set; } + public global::System.Collections.Generic.List? ListType39 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType40 { get; set; } + public global::System.Collections.Generic.List? ListType40 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType41 { get; set; } + public global::System.Collections.Generic.List? ListType41 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType42 { get; set; } + public global::System.Collections.Generic.List? ListType42 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType43 { get; set; } + public global::System.Collections.Generic.List? ListType43 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType44 { get; set; } + public global::System.Collections.Generic.List? ListType44 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index 72da3cc..96f5ce9 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 @@ -23,18 +23,18 @@ public sealed partial class BatchStats public string? FailedRequestCount { get; set; } /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -53,27 +53,27 @@ 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 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? requestCount, string? failedRequestCount, - string? pendingRequestCount, - string? successfulRequestCount) + string? successfulRequestCount, + string? pendingRequestCount) { this.RequestCount = requestCount; this.FailedRequestCount = failedRequestCount; - this.PendingRequestCount = pendingRequestCount; 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 f0f7fa6..9eff9e0 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 @@ -9,31 +9,29 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Output only. Creation time of the cache entry.
+ /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Metadata on the usage of the cached content. + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. @@ -42,46 +40,48 @@ public sealed partial class CachedContent public string? DisplayName { get; set; } /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [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. + /// Metadata on the usage of the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Output only. Creation time of the cache entry.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Input only. New TTL for this resource, input only. + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. Input only. Immutable. The content to cache. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("contents")] - public global::System.Collections.Generic.IList? Contents { 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. + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -92,74 +92,74 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// - /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses - /// - /// - /// Metadata on the usage of the cached content. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Metadata on the usage of the cached content. + /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// Output only. Creation time of the cache entry.
+ /// Included only in responses /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// 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. /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - string? name, + string? ttl, + global::System.Collections.Generic.IList? contents, string? updateTime, - string? createTime, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + string? expireTime, string? displayName, + global::Google.Gemini.ToolConfig? toolConfig, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, string? model, - string? expireTime, - global::System.Collections.Generic.IList? tools, + string? createTime, + string? name, global::Google.Gemini.Content? systemInstruction, - string? ttl, - global::System.Collections.Generic.IList? contents, - global::Google.Gemini.ToolConfig? toolConfig) + global::System.Collections.Generic.IList? tools) { - this.Name = name; + this.Ttl = ttl; + this.Contents = contents; this.UpdateTime = updateTime; - this.CreateTime = createTime; - this.UsageMetadata = usageMetadata; + this.ExpireTime = expireTime; this.DisplayName = displayName; + this.ToolConfig = toolConfig; + this.UsageMetadata = usageMetadata; this.Model = model; - this.ExpireTime = expireTime; - this.Tools = tools; + this.CreateTime = createTime; + this.Name = name; this.SystemInstruction = systemInstruction; - this.Ttl = ttl; - this.Contents = contents; - this.ToolConfig = toolConfig; + this.Tools = tools; } /// 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 5de1397..ad66d60 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } - - /// - /// Metadata 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. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
@@ -28,17 +22,11 @@ public sealed partial class Candidate public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// - /// Logprobs Result - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } - - /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
@@ -49,11 +37,23 @@ public sealed partial class Candidate public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Output only. Average log probability score of the candidate.
+ /// Metadata related to url context retrieval tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } + + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + + /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// /// Output only. Token count for this candidate.
@@ -63,29 +63,29 @@ public sealed partial class Candidate public int? TokenCount { 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; } /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Output only. Index of the candidate in the list of response candidates.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// - /// Metadata related to url context retrieval tool. + /// Metadata returned to client when grounding is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -96,77 +96,77 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Metadata returned to client when grounding is enabled. + /// + /// A collection of source attributions for a piece of content. /// /// /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - /// - /// Logprobs Result - /// - /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// + /// Output only. Average log probability score of the candidate.
/// 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. Average log probability score of the candidate.
+ /// + /// Metadata related to url context retrieval tool. + /// + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// /// /// Output only. Token count for this candidate.
/// Included only in responses /// - /// - /// A collection of source attributions for a piece of content. + /// + /// Logprobs Result /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// + /// Output only. Index of the candidate in the list of response candidates.
/// Included only in responses /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. + /// + /// Metadata returned to client when grounding is enabled. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - global::Google.Gemini.Content? content, - global::Google.Gemini.GroundingMetadata? groundingMetadata, + global::Google.Gemini.CitationMetadata? citationMetadata, global::System.Collections.Generic.IList? groundingAttributions, - global::Google.Gemini.LogprobsResult? logprobsResult, - int? index, - global::Google.Gemini.CandidateFinishReason? finishReason, double? avgLogprobs, - int? tokenCount, - global::Google.Gemini.CitationMetadata? citationMetadata, - string? finishMessage, + global::Google.Gemini.CandidateFinishReason? finishReason, + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, global::System.Collections.Generic.IList? safetyRatings, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata) + string? finishMessage, + int? tokenCount, + global::Google.Gemini.LogprobsResult? logprobsResult, + int? index, + global::Google.Gemini.Content? content, + global::Google.Gemini.GroundingMetadata? groundingMetadata) { - this.Content = content; - this.GroundingMetadata = groundingMetadata; + this.CitationMetadata = citationMetadata; this.GroundingAttributions = groundingAttributions; - this.LogprobsResult = logprobsResult; - this.Index = index; - this.FinishReason = finishReason; this.AvgLogprobs = avgLogprobs; - this.TokenCount = tokenCount; - this.CitationMetadata = citationMetadata; - this.FinishMessage = finishMessage; - this.SafetyRatings = safetyRatings; + this.FinishReason = finishReason; this.UrlContextMetadata = urlContextMetadata; + this.SafetyRatings = safetyRatings; + this.FinishMessage = finishMessage; + this.TokenCount = tokenCount; + this.LogprobsResult = logprobsResult; + this.Index = index; + this.Content = content; + 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 16f78c5..44bb976 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 @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class CitationSource { - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("license")] - public string? License { get; set; } - - /// - /// Optional. End of the attributed segment, exclusive. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } - /// /// Optional. URI that is attributed as a source for a portion of the text. /// [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } + /// + /// 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. End of the attributed segment, exclusive. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// - /// - /// Optional. End of the attributed segment, exclusive. - /// /// /// Optional. URI that is attributed as a source for a portion of the text. /// + /// + /// Optional. 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. End of the attributed segment, exclusive. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - string? license, - int? endIndex, string? uri, - int? startIndex) + string? license, + int? startIndex, + int? endIndex) { - this.License = license; - this.EndIndex = endIndex; this.Uri = uri; + this.License = license; this.StartIndex = startIndex; + this.EndIndex = endIndex; } /// 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 590acbe..a004072 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 @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class CodeExecutionResult { /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// Required. Outcome of the code execution. /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public string? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outcome")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] + public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. @@ -21,11 +22,10 @@ public sealed partial class CodeExecutionResult public string? Id { get; set; } /// - /// Required. Outcome of the code execution. + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outcome")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] - public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public string? Output { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,26 +36,26 @@ public sealed partial class CodeExecutionResult /// /// Initializes a new instance of the class. /// - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// + /// Required. Outcome of the code execution. /// /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// - /// - /// Required. Outcome of the code execution. + /// + /// 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( - string? output, + global::Google.Gemini.CodeExecutionResultOutcome? outcome, string? id, - global::Google.Gemini.CodeExecutionResultOutcome? outcome) + string? output) { - this.Output = output; - this.Id = id; this.Outcome = outcome; + this.Id = id; + this.Output = output; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs index 32abe70..e1753f1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ContentEmbedding { - /// - /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("shape")] - public global::System.Collections.Generic.IList? Shape { get; set; } - /// /// The embedding values. This is for 3P users only and will not be populated for 1P calls. /// [global::System.Text.Json.Serialization.JsonPropertyName("values")] public global::System.Collections.Generic.IList? Values { get; set; } + /// + /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("shape")] + public global::System.Collections.Generic.IList? Shape { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ContentEmbedding /// /// Initializes a new instance of the class. /// - /// - /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). - /// /// /// The embedding values. This is for 3P users only and will not be populated for 1P calls. /// + /// + /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ContentEmbedding( - global::System.Collections.Generic.IList? shape, - global::System.Collections.Generic.IList? values) + global::System.Collections.Generic.IList? values, + global::System.Collections.Generic.IList? shape) { - this.Shape = shape; this.Values = values; + this.Shape = shape; } /// 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 9452bc5..ded964d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -22,6 +22,12 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -29,12 +35,6 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } - /// - /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -52,26 +52,26 @@ public sealed partial class Corpus /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// - /// - /// 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" - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( string? createTime, string? name, - string? updateTime, - string? displayName) + string? displayName, + string? updateTime) { this.CreateTime = createTime; this.Name = name; - this.UpdateTime = updateTime; this.DisplayName = displayName; + this.UpdateTime = updateTime; } /// 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 f287bd8..aae3f86 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 { - /// - /// 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; } + /// + /// 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; } + /// /// 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. /// - /// - /// 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. /// + /// + /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensRequest( - global::System.Collections.Generic.IList? contents, - global::Google.Gemini.GenerateContentRequest? generateContentRequest) + global::Google.Gemini.GenerateContentRequest? generateContentRequest, + global::System.Collections.Generic.IList? contents) { - this.Contents = contents; this.GenerateContentRequest = generateContentRequest; + this.Contents = contents; } /// 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 d299dcc..387bd46 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class CountTokensResponse { - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } - /// /// 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; } + /// + /// Number of tokens in the cached part of the prompt (the cached content). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } + /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -43,12 +43,12 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// + /// + /// Number of tokens in the cached part of the prompt (the cached content). + /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -61,13 +61,13 @@ public sealed partial class CountTokensResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - int? cachedContentTokenCount, int? totalTokens, + int? cachedContentTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, global::System.Collections.Generic.IList? cacheTokensDetails) { - this.CachedContentTokenCount = cachedContentTokenCount; this.TotalTokens = totalTokens; + this.CachedContentTokenCount = cachedContentTokenCount; this.PromptTokensDetails = promptTokensDetails; this.CacheTokensDetails = cacheTokensDetails; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs index ade5f1d..46c1749 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 @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class CustomLongRunningOperation { - /// - /// 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). /// @@ -32,12 +20,24 @@ public sealed partial class CustomLongRunningOperation [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; } + /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// [global::System.Text.Json.Serialization.JsonPropertyName("done")] public bool? Done { get; set; } + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. - /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. - /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// The 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`. + /// /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - object? response, - object? metadata, global::Google.Gemini.Status? error, string? name, - bool? done) + object? response, + bool? done, + object? metadata) { - this.Response = response; - this.Metadata = metadata; this.Error = error; this.Name = name; + this.Response = response; this.Done = done; + this.Metadata = metadata; } /// 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 eb74963..356bd5a 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 { /// - /// User provided string values assigned to a single metadata key. + /// The numeric value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } /// /// The string value of the metadata to store. @@ -20,18 +20,18 @@ public sealed partial class CustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] public string? StringValue { get; set; } - /// - /// The numeric value of the metadata to store. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } - /// /// Required. The key of the metadata to store. /// [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } + /// + /// User provided string values assigned to a single metadata key. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.StringList? StringListValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// User provided string values assigned to a single metadata key. + /// + /// The numeric value of the metadata to store. /// /// /// The string value of the metadata to store. /// - /// - /// The numeric value of the metadata to store. - /// /// /// Required. The key of the metadata to store. /// + /// + /// User provided string values assigned to a single metadata key. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - global::Google.Gemini.StringList? stringListValue, - string? stringValue, float? numericValue, - string? key) + string? stringValue, + string? key, + global::Google.Gemini.StringList? stringListValue) { - this.StringListValue = stringListValue; - this.StringValue = stringValue; this.NumericValue = numericValue; + this.StringValue = stringValue; this.Key = key; + 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 3f4f163..c72715c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs @@ -9,38 +9,44 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// - /// Output only. The Timestamp of when the `Document` was 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; } /// - /// Output only. The mime type of the Document.
- /// Included only in responses + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [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`. + /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. Current state of the `Document`.
+ /// Output only. The mime type 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The size of raw bytes ingested into the Document.
@@ -50,17 +56,11 @@ public sealed partial class Document public string? SizeBytes { 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.
+ /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,17 +71,6 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" - /// - /// - /// Output only. The Timestamp of when the `Document` was created.
- /// Included only in responses - /// - /// - /// Output only. The mime type of the Document.
- /// Included only in responses - /// /// /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// @@ -89,10 +78,6 @@ public sealed partial class Document /// Output only. Current state of the `Document`.
/// Included only in responses /// - /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses - /// /// /// 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` /// @@ -100,27 +85,42 @@ public sealed partial class Document /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// + /// + /// Output only. The mime type of the Document.
+ /// Included only in responses + /// + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + /// + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses + /// + /// + /// Output only. The Timestamp of when the `Document` was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? displayName, - string? createTime, - string? mimeType, global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.DocumentState? state, - string? sizeBytes, string? name, - string? updateTime) + string? updateTime, + string? mimeType, + string? displayName, + string? sizeBytes, + string? createTime) { - this.DisplayName = displayName; - this.CreateTime = createTime; - this.MimeType = mimeType; this.CustomMetadata = customMetadata; this.State = state; - this.SizeBytes = sizeBytes; this.Name = name; this.UpdateTime = updateTime; + this.MimeType = mimeType; + this.DisplayName = displayName; + this.SizeBytes = sizeBytes; + this.CreateTime = createTime; } /// 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 7612e25..08f168d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs @@ -9,18 +9,11 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// Output only. The state of the batch.
+ /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } - - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Stats about the batch. @@ -29,16 +22,18 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Output only. The time at which the batch was created.
@@ -48,11 +43,10 @@ public sealed partial class EmbedContentBatch public string? CreateTime { get; set; } /// - /// Output only. The time at which the batch processing completed.
- /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// /// Required. The user-defined name of this batch. @@ -61,17 +55,17 @@ public sealed partial class EmbedContentBatch public string? DisplayName { get; set; } /// - /// Configures the input to the batch request. + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// /// Output only. The time at which the batch was last updated.
@@ -80,6 +74,12 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -89,71 +89,71 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. The state of the batch.
+ /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Stats about the batch. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Output only. The state of the batch.
+ /// 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Output only. The time at which the batch processing completed.
- /// 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. /// /// /// Required. The user-defined name of this batch. /// - /// - /// Configures the input to the batch request. + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// + /// + /// Configures the input to the batch request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( + string? name, + global::Google.Gemini.EmbedContentBatchStats? batchStats, global::Google.Gemini.EmbedContentBatchState? state, string? model, - global::Google.Gemini.EmbedContentBatchStats? batchStats, - global::Google.Gemini.EmbedContentBatchOutput? output, - string? priority, string? createTime, - string? endTime, + string? priority, string? displayName, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, - string? name, - string? updateTime) + global::Google.Gemini.EmbedContentBatchOutput? output, + string? endTime, + string? updateTime, + global::Google.Gemini.InputEmbedContentConfig? inputConfig) { + this.Name = name; + this.BatchStats = batchStats; this.State = state; this.Model = model; - this.BatchStats = batchStats; - this.Output = output; - this.Priority = priority; this.CreateTime = createTime; - this.EndTime = endTime; + this.Priority = priority; this.DisplayName = displayName; - this.InputConfig = inputConfig; - this.Name = name; + this.Output = output; + this.EndTime = endTime; this.UpdateTime = updateTime; + this.InputConfig = inputConfig; } /// 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 973d484..c7ac9b5 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 46b2d1b..5265822 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchStats { - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } - /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -29,6 +22,13 @@ public sealed partial class EmbedContentBatchStats [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] public string? FailedRequestCount { get; set; } + /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// + [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 @@ -45,10 +45,6 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -57,6 +53,10 @@ public sealed partial class EmbedContentBatchStats /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// + /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -65,14 +65,14 @@ public sealed partial class EmbedContentBatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? successfulRequestCount, string? requestCount, string? failedRequestCount, + string? successfulRequestCount, string? pendingRequestCount) { - this.SuccessfulRequestCount = successfulRequestCount; this.RequestCount = requestCount; this.FailedRequestCount = failedRequestCount; + this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; } 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 8352f87..13e568f 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class EmbedContentRequest { /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Optional. 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. @@ -34,10 +34,10 @@ public sealed partial class EmbedContentRequest public int? OutputDimensionality { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -48,8 +48,8 @@ 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. /// /// /// Optional. 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. @@ -60,24 +60,24 @@ public sealed partial class EmbedContentRequest /// /// Optional. 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. + /// + /// 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, string? title, global::Google.Gemini.EmbedContentRequestTaskType? taskType, int? outputDimensionality, - global::Google.Gemini.Content? content) + string? model) { - this.Model = model; + this.Content = content; this.Title = title; this.TaskType = taskType; this.OutputDimensionality = outputDimensionality; - this.Content = content; + this.Model = model; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs index 3838dc0..0ee693b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class EmbedContentResponse { - /// - /// A list of floats representing an embedding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] - public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } - /// /// Metadata on the usage of the embedding request. /// [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// + /// A list of floats representing an embedding. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embedding")] + public global::Google.Gemini.ContentEmbedding? Embedding { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class EmbedContentResponse /// /// Initializes a new instance of the class. /// - /// - /// A list of floats representing an embedding. - /// /// /// Metadata on the usage of the embedding request. /// + /// + /// A list of floats representing an embedding. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentResponse( - global::Google.Gemini.ContentEmbedding? embedding, - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, + global::Google.Gemini.ContentEmbedding? embedding) { - this.Embedding = embedding; this.UsageMetadata = usageMetadata; + this.Embedding = embedding; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs index e94a3e7..166824a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs @@ -9,30 +9,31 @@ namespace Google.Gemini public sealed partial class File { /// - /// Metadata for a video `File`. + /// Output only. MIME type of the file.
+ /// 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("mimeType")] + public string? MimeType { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
- /// Included only in responses + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. Processing state of the File.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { get; set; } /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The timestamp of when the `File` was last updated.
@@ -41,6 +42,13 @@ public sealed partial class File [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// Output only. The download uri of the `File`.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } + /// /// Source of the File. /// @@ -49,19 +57,18 @@ public sealed partial class File public global::Google.Gemini.FileSource? Source { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// Output only. Processing state of the File.
+ /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] - public global::Google.Gemini.FileState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// /// 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). @@ -70,38 +77,31 @@ public sealed partial class File public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The uri of the `File`.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Output only. The uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Output only. MIME type of the file.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
- /// Included only in responses + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,90 +112,90 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Metadata for a video `File`. - /// - /// - /// Output only. The timestamp of when the `File` was created.
- /// Included only in responses - /// - /// - /// Output only. Size of the file in bytes.
+ /// + /// Output only. MIME type of the file.
/// Included only in responses /// /// /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// + /// + /// Output only. Processing state of the File.
+ /// Included only in responses + /// + /// + /// 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` was last updated.
/// Included only in responses /// + /// + /// Output only. The download uri of the `File`.
+ /// Included only in responses + /// /// /// Source of the File. /// - /// - /// Output only. The download uri of the `File`.
+ /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - /// - /// Output only. Processing state of the File.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
/// 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`.
+ /// + /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// + /// Output only. The uri of the `File`.
/// Included only in responses /// - /// - /// Output only. MIME type of the file.
+ /// + /// Output only. Size of the file in 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 + /// + /// Metadata for a video `File`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - global::Google.Gemini.VideoFileMetadata? videoMetadata, - string? createTime, - string? sizeBytes, + string? mimeType, string? name, + global::Google.Gemini.FileState? state, + string? displayName, string? updateTime, - global::Google.Gemini.FileSource? source, string? downloadUri, - global::Google.Gemini.FileState? state, + global::Google.Gemini.FileSource? source, + string? expirationTime, + byte[]? sha256Hash, global::Google.Gemini.Status? error, + string? createTime, string? uri, - byte[]? sha256Hash, - string? mimeType, - string? displayName, - string? expirationTime) + string? sizeBytes, + global::Google.Gemini.VideoFileMetadata? videoMetadata) { - this.VideoMetadata = videoMetadata; - this.CreateTime = createTime; - this.SizeBytes = sizeBytes; + this.MimeType = mimeType; this.Name = name; + this.State = state; + this.DisplayName = displayName; this.UpdateTime = updateTime; - this.Source = source; this.DownloadUri = downloadUri; - this.State = state; + this.Source = source; + this.ExpirationTime = expirationTime; + this.Sha256Hash = sha256Hash; this.Error = error; + this.CreateTime = createTime; this.Uri = uri; - this.Sha256Hash = sha256Hash; - this.MimeType = mimeType; - this.DisplayName = displayName; - this.ExpirationTime = expirationTime; + this.SizeBytes = sizeBytes; + this.VideoMetadata = videoMetadata; } /// 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 dfc58a6..4add930 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 @@ -23,45 +23,45 @@ public sealed partial class FileSearchStore public string? UpdateTime { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// - /// 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 + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [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" + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -80,50 +80,50 @@ public sealed partial class FileSearchStore /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Included only in responses + /// + /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// /// /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// /// /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
- /// Included only in responses - /// - /// - /// 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" - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( string? name, string? updateTime, - string? pendingDocumentsCount, - string? failedDocumentsCount, string? activeDocumentsCount, - string? sizeBytes, string? createTime, - string? displayName) + string? failedDocumentsCount, + string? displayName, + string? pendingDocumentsCount, + string? sizeBytes) { this.Name = name; this.UpdateTime = updateTime; - this.PendingDocumentsCount = pendingDocumentsCount; - this.FailedDocumentsCount = failedDocumentsCount; this.ActiveDocumentsCount = activeDocumentsCount; - this.SizeBytes = sizeBytes; this.CreateTime = createTime; + this.FailedDocumentsCount = failedDocumentsCount; this.DisplayName = displayName; + this.PendingDocumentsCount = pendingDocumentsCount; + this.SizeBytes = sizeBytes; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs index e2ad38a..461b194 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// @@ -26,6 +20,12 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// /// /// Optional. The function parameters and values in JSON object format. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - string? name, string? id, - object? args) + object? args, + string? name) { - this.Name = name; this.Id = id; this.Args = args; + this.Name = name; } /// 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 34bb1ab..4f2fd76 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 5e26ed7..03f1164 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FunctionDeclaration { + /// + /// Optional. Describes the 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; } + /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// @@ -15,12 +21,6 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } - /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// @@ -34,22 +34,22 @@ public sealed partial class FunctionDeclaration public string? Name { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Required. A brief description of the function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// 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("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } /// - /// Required. A brief description of the function. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -60,46 +60,46 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// /// /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// + /// + /// Required. A brief description of the function. + /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. - /// - /// - /// Required. A brief description of the function. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( + object? parametersJsonSchema, global::Google.Gemini.FunctionDeclarationBehavior? behavior, - global::Google.Gemini.Schema? response, object? responseJsonSchema, string? name, + string? description, global::Google.Gemini.Schema? parameters, - object? parametersJsonSchema, - string? description) + global::Google.Gemini.Schema? response) { + this.ParametersJsonSchema = parametersJsonSchema; this.Behavior = behavior; - this.Response = response; this.ResponseJsonSchema = responseJsonSchema; this.Name = name; - this.Parameters = parameters; - this.ParametersJsonSchema = parametersJsonSchema; this.Description = description; + this.Parameters = parameters; + this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index f9ecd18..1587fe6 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 @@ -14,6 +14,12 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("response")] public object? Response { get; set; } + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// @@ -21,16 +27,17 @@ public sealed partial class FunctionResponse public bool? WillContinue { get; set; } /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] + public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. @@ -38,13 +45,6 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("parts")] public global::System.Collections.Generic.IList? Parts { get; set; } - /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] - public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -57,38 +57,38 @@ public sealed partial class FunctionResponse /// /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// + /// + /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. + /// /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( object? response, + string? name, bool? willContinue, + global::Google.Gemini.FunctionResponseScheduling? scheduling, string? id, - string? name, - global::System.Collections.Generic.IList? parts, - global::Google.Gemini.FunctionResponseScheduling? scheduling) + global::System.Collections.Generic.IList? parts) { this.Response = response; + this.Name = name; this.WillContinue = willContinue; + this.Scheduling = scheduling; this.Id = id; - this.Name = name; this.Parts = parts; - this.Scheduling = scheduling; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs index e4585dd..fccc27b 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 @@ -17,10 +17,11 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Stats about the batch. @@ -28,12 +29,6 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] public global::Google.Gemini.BatchStats? BatchStats { get; set; } - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } - /// /// 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. /// @@ -41,18 +36,17 @@ public sealed partial class GenerateContentBatch public string? Priority { get; set; } /// - /// Output only. The time at which the batch was created.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. The time at which the batch was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Required. The user-defined name of this batch. @@ -61,17 +55,17 @@ public sealed partial class GenerateContentBatch public string? DisplayName { get; set; } /// - /// Configures the input to the batch request. + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// /// Output only. The time at which the batch was last updated.
@@ -80,6 +74,12 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -93,67 +93,67 @@ public sealed partial class GenerateContentBatch /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// 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. - /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses - /// /// /// Required. The user-defined name of this batch. /// - /// - /// Configures the input to the batch request. + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// + /// + /// Configures the input to the batch request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( global::Google.Gemini.GenerateContentBatchState? state, - string? model, + string? name, global::Google.Gemini.BatchStats? batchStats, - global::Google.Gemini.GenerateContentBatchOutput? output, string? priority, + string? model, string? createTime, - string? endTime, string? displayName, - global::Google.Gemini.InputConfig? inputConfig, - string? name, - string? updateTime) + global::Google.Gemini.GenerateContentBatchOutput? output, + string? endTime, + string? updateTime, + global::Google.Gemini.InputConfig? inputConfig) { this.State = state; - this.Model = model; + this.Name = name; this.BatchStats = batchStats; - this.Output = output; this.Priority = priority; + this.Model = model; this.CreateTime = createTime; - this.EndTime = endTime; this.DisplayName = displayName; - this.InputConfig = inputConfig; - this.Name = name; + this.Output = output; + this.EndTime = endTime; this.UpdateTime = updateTime; + this.InputConfig = inputConfig; } /// 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 772601d..e25688c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class GenerateContentRequest { - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] - public string? CachedContent { get; set; } - - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } - /// /// Optional. The service tier of the request. /// @@ -28,22 +16,22 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// /// 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. @@ -52,22 +40,34 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - [global::System.Text.Json.Serialization.JsonPropertyName("store")] - public bool? Store { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } + + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { get; set; } + + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] + public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,61 +78,61 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// /// /// Optional. The service tier of the request. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - /// - /// 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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The 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. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// 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}` + /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - string? cachedContent, - global::Google.Gemini.GenerationConfig? generationConfig, global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - string? model, - global::System.Collections.Generic.IList? tools, - global::Google.Gemini.Content? systemInstruction, - global::System.Collections.Generic.IList? safetySettings, global::System.Collections.Generic.IList? contents, + bool? store, global::Google.Gemini.ToolConfig? toolConfig, - bool? store) + global::System.Collections.Generic.IList? safetySettings, + string? model, + global::Google.Gemini.Content? systemInstruction, + global::System.Collections.Generic.IList? tools, + string? cachedContent, + global::Google.Gemini.GenerationConfig? generationConfig) { - this.CachedContent = cachedContent; - this.GenerationConfig = generationConfig; this.ServiceTier = serviceTier; - this.Model = model; - this.Tools = tools; - this.SystemInstruction = systemInstruction; - this.SafetySettings = safetySettings; this.Contents = contents; - this.ToolConfig = toolConfig; this.Store = store; + this.ToolConfig = toolConfig; + this.SafetySettings = safetySettings; + this.Model = model; + this.SystemInstruction = systemInstruction; + this.Tools = tools; + this.CachedContent = cachedContent; + this.GenerationConfig = generationConfig; } /// 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 8b6b2f6..8cbc2e1 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 @@ -8,25 +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; } - - /// - /// 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. /// [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + /// + /// Candidate responses from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } + /// /// Metadata on the generation request's token usage. /// @@ -46,6 +39,13 @@ 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -55,16 +55,12 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Candidate responses from the model. - /// - /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses - /// /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// + /// + /// Candidate responses from the model. + /// /// /// Metadata on the generation request's token usage. /// @@ -75,23 +71,27 @@ public sealed partial class GenerateContentResponse /// 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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::System.Collections.Generic.IList? candidates, - string? responseId, global::Google.Gemini.ModelStatus? modelStatus, + global::System.Collections.Generic.IList? candidates, global::Google.Gemini.UsageMetadata? usageMetadata, global::Google.Gemini.PromptFeedback? promptFeedback, - string? modelVersion) + string? modelVersion, + string? responseId) { - this.Candidates = candidates; - this.ResponseId = responseId; this.ModelStatus = modelStatus; + this.Candidates = candidates; this.UsageMetadata = usageMetadata; this.PromptFeedback = promptFeedback; this.ModelVersion = modelVersion; + 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 6ccb535..1390d79 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs @@ -14,14 +14,6 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Output only. The state of the GeneratedFile.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] - public global::Google.Gemini.GeneratedFileState? State { get; set; } - /// /// 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). /// @@ -34,6 +26,14 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Output only. The state of the GeneratedFile.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] + public global::Google.Gemini.GeneratedFileState? State { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -46,29 +46,29 @@ public sealed partial class GeneratedFile /// /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// - /// - /// 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). /// /// /// MIME type of the generatedFile. /// + /// + /// Output only. The state of the GeneratedFile.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( string? name, - global::Google.Gemini.GeneratedFileState? state, global::Google.Gemini.Status? error, - string? mimeType) + string? mimeType, + global::Google.Gemini.GeneratedFileState? state) { this.Name = name; - this.State = state; this.Error = error; this.MimeType = mimeType; + this.State = state; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index d2611fe..5b24d5c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs @@ -9,46 +9,47 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// 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. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] + public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Optional. The maximum number of tokens to 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { 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) + /// 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("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// - /// Config for speech generation and transcription. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// /// Optional. Enables enhanced civic answers. It may not be available for all models. @@ -57,10 +58,16 @@ public sealed partial class GenerationConfig public bool? EnableEnhancedCivicAnswers { get; set; } /// - /// Config for thinking features. + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } + + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { get; set; } /// /// 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]. @@ -69,10 +76,22 @@ public sealed partial class GenerationConfig public float? Temperature { 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. 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("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } + + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { get; set; } + + /// + /// Config for speech generation and transcription. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { 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. @@ -81,16 +100,16 @@ public sealed partial class GenerationConfig public string? ResponseMimeType { get; set; } /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// /// Optional. 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. @@ -99,17 +118,10 @@ public sealed partial class GenerationConfig public global::System.Collections.Generic.IList? StopSequences { 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; } - - /// - /// Config for image generation features. + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// /// Optional. If true, export the logprobs results in response. @@ -117,18 +129,6 @@ public sealed partial class GenerationConfig [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] public bool? ResponseLogprobs { get; set; } - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } - - /// - /// 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("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -138,111 +138,111 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. 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. If specified, the media resolution specified will be used. /// - /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. /// - /// - /// Optional. 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) + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// Optional. 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. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - /// - /// Config for speech generation and transcription. + /// + /// Config for thinking features. /// /// /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// Config for thinking features. + /// + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// /// /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + /// + /// Config for speech generation and transcription. /// /// /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Config for image generation features. /// - /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// /// /// Optional. 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 specified, the media resolution specified will be used. - /// - /// - /// Config for image generation features. + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// /// /// Optional. If true, export the logprobs results in response. /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. - /// - /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - int? maxOutputTokens, - int? topK, - int? candidateCount, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + float? frequencyPenalty, + global::Google.Gemini.Schema? responseSchema, + float? presencePenalty, + float? topP, object? responseJsonSchema, - int? seed, - int? logprobs, - global::Google.Gemini.SpeechConfig? speechConfig, - bool? enableEnhancedCivicAnswers, global::Google.Gemini.ThinkingConfig? thinkingConfig, + bool? enableEnhancedCivicAnswers, + int? candidateCount, + int? maxOutputTokens, float? temperature, - global::Google.Gemini.Schema? responseSchema, + int? logprobs, + int? seed, + global::Google.Gemini.SpeechConfig? speechConfig, string? responseMimeType, - float? topP, - float? presencePenalty, - global::System.Collections.Generic.IList? stopSequences, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, global::Google.Gemini.ImageConfig? imageConfig, - bool? responseLogprobs, global::System.Collections.Generic.IList? responseModalities, - float? frequencyPenalty) + global::System.Collections.Generic.IList? stopSequences, + int? topK, + bool? responseLogprobs) { - this.MaxOutputTokens = maxOutputTokens; - this.TopK = topK; - this.CandidateCount = candidateCount; + this.MediaResolution = mediaResolution; + this.FrequencyPenalty = frequencyPenalty; + this.ResponseSchema = responseSchema; + this.PresencePenalty = presencePenalty; + this.TopP = topP; this.ResponseJsonSchema = responseJsonSchema; - this.Seed = seed; - this.Logprobs = logprobs; - this.SpeechConfig = speechConfig; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; this.ThinkingConfig = thinkingConfig; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.CandidateCount = candidateCount; + this.MaxOutputTokens = maxOutputTokens; this.Temperature = temperature; - this.ResponseSchema = responseSchema; + this.Logprobs = logprobs; + this.Seed = seed; + this.SpeechConfig = speechConfig; this.ResponseMimeType = responseMimeType; - this.TopP = topP; - this.PresencePenalty = presencePenalty; - this.StopSequences = stopSequences; - this.MediaResolution = mediaResolution; this.ImageConfig = imageConfig; - this.ResponseLogprobs = responseLogprobs; this.ResponseModalities = responseModalities; - this.FrequencyPenalty = frequencyPenalty; + this.StopSequences = stopSequences; + this.TopK = topK; + this.ResponseLogprobs = responseLogprobs; } /// 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 708441a..f87dfcf 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -8,19 +8,6 @@ namespace Google.Gemini /// 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 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] - public global::System.Collections.Generic.IList? RenderedParts { get; set; } - - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] - public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } - /// /// Segment of the content. /// @@ -33,6 +20,19 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] + public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } + + /// + /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] + public global::System.Collections.Generic.IList? RenderedParts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -42,32 +42,32 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// - /// - /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
- /// Included only in responses - /// - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// /// /// Segment of the content. /// /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// + /// + /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( - global::System.Collections.Generic.IList? renderedParts, - global::System.Collections.Generic.IList? groundingChunkIndices, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, - global::System.Collections.Generic.IList? confidenceScores) + global::System.Collections.Generic.IList? confidenceScores, + global::System.Collections.Generic.IList? groundingChunkIndices, + global::System.Collections.Generic.IList? renderedParts) { - this.RenderedParts = renderedParts; - this.GroundingChunkIndices = groundingChunkIndices; this.Segment = segment; this.ConfidenceScores = confidenceScores; + this.GroundingChunkIndices = groundingChunkIndices; + this.RenderedParts = renderedParts; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index d6183e5..49ae510 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. /// @@ -32,6 +26,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] public int? StartIndex { get; set; } + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,9 +41,6 @@ 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. /// @@ -53,19 +50,22 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? endIndex, string? text, int? partIndex, - int? startIndex) + int? startIndex, + int? endIndex) { - this.EndIndex = endIndex; this.Text = text; this.PartIndex = partIndex; this.StartIndex = startIndex; + this.EndIndex = endIndex; } /// 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 bcc9b42..3645446 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.GroundingChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs index ca73d30..ac519a5 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 @@ -20,18 +20,18 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } - /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maps")] - public global::Google.Gemini.Maps? Maps { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maps")] + public global::Google.Gemini.Maps? Maps { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,25 +47,25 @@ public sealed partial class GroundingChunk /// /// Chunk from context retrieved by the file search tool. /// - /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. - /// /// /// Chunk from image search. /// + /// + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( global::Google.Gemini.Web? web, global::Google.Gemini.RetrievedContext? retrievedContext, - global::Google.Gemini.Maps? maps, - global::Google.Gemini.Image? image) + global::Google.Gemini.Image? image, + global::Google.Gemini.Maps? maps) { this.Web = web; this.RetrievedContext = retrievedContext; - this.Maps = maps; 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 825b243..b05c153 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 @@ -20,18 +20,18 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] public string? StringValue { get; set; } - /// - /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } - /// /// The key of the metadata. /// [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } + /// + /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,25 +47,25 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Optional. The string value of the metadata. /// - /// - /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. - /// /// /// The key of the metadata. /// + /// + /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( global::Google.Gemini.GroundingChunkStringList? stringListValue, string? stringValue, - float? numericValue, - string? key) + string? key, + float? numericValue) { this.StringListValue = stringListValue; this.StringValue = stringValue; - this.NumericValue = numericValue; this.Key = key; + this.NumericValue = numericValue; } /// 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 9aadedf..c1b89c4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingMetadata { - /// - /// Web search queries for the following-up web search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } - /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// @@ -21,16 +15,10 @@ public sealed partial class GroundingMetadata public string? GoogleMapsWidgetContextToken { get; set; } /// - /// Metadata related to retrieval in the grounding flow. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] - public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } - - /// - /// Google search entry point. + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { get; set; } /// /// List of grounding support. @@ -39,10 +27,22 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? GroundingSupports { 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; } + + /// + /// Google search entry point. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + + /// + /// Metadata related to retrieval in the grounding flow. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] + public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } /// /// Image search queries used for grounding. @@ -59,23 +59,23 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// 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. /// - /// - /// Metadata related to retrieval in the grounding flow. - /// - /// - /// Google search entry point. + /// + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// /// /// List of grounding support. /// - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// + /// Web search queries for the following-up web search. + /// + /// + /// Google search entry point. + /// + /// + /// Metadata related to retrieval in the grounding flow. /// /// /// Image search queries used for grounding. @@ -84,20 +84,20 @@ public sealed partial class GroundingMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::System.Collections.Generic.IList? webSearchQueries, string? googleMapsWidgetContextToken, - global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - global::System.Collections.Generic.IList? groundingSupports, global::System.Collections.Generic.IList? groundingChunks, + global::System.Collections.Generic.IList? groundingSupports, + global::System.Collections.Generic.IList? webSearchQueries, + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + global::Google.Gemini.RetrievalMetadata? retrievalMetadata, global::System.Collections.Generic.IList? imageSearchQueries) { - this.WebSearchQueries = webSearchQueries; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; - this.RetrievalMetadata = retrievalMetadata; - this.SearchEntryPoint = searchEntryPoint; - this.GroundingSupports = groundingSupports; this.GroundingChunks = groundingChunks; + this.GroundingSupports = groundingSupports; + this.WebSearchQueries = webSearchQueries; + this.SearchEntryPoint = searchEntryPoint; + this.RetrievalMetadata = retrievalMetadata; this.ImageSearchQueries = imageSearchQueries; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs index 71ef878..190e08b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class Hyperparameters { - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } - - /// - /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] - public int? EpochCount { get; set; } - /// /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// @@ -32,6 +20,18 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] public int? BatchSize { get; set; } + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] + public int? EpochCount { get; set; } + + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// - /// - /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. - /// /// /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// + /// + /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. + /// + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - float? learningRateMultiplier, - int? epochCount, float? learningRate, - int? batchSize) + int? batchSize, + int? epochCount, + float? learningRateMultiplier) { - this.LearningRateMultiplier = learningRateMultiplier; - this.EpochCount = epochCount; this.LearningRate = learningRate; this.BatchSize = batchSize; + this.EpochCount = epochCount; + this.LearningRateMultiplier = learningRateMultiplier; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs index d54b5d3..36f43be 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Image { - /// - /// The image asset URL. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] - public string? ImageUri { get; set; } - /// /// The title of the web page that the image is from. /// @@ -26,6 +20,12 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] public string? SourceUri { get; set; } + /// + /// The image asset URL. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] + public string? ImageUri { get; set; } + /// /// The root domain of the web page that the image is from, e.g. "example.com". /// @@ -41,15 +41,15 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// - /// - /// The image asset URL. - /// /// /// The title of the web page that the image is from. /// /// /// The web page URI for attribution. /// + /// + /// The image asset URL. + /// /// /// The root domain of the web page that the image is from, e.g. "example.com". /// @@ -57,14 +57,14 @@ public sealed partial class Image [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? imageUri, string? title, string? sourceUri, + string? imageUri, string? domain) { - this.ImageUri = imageUri; this.Title = title; this.SourceUri = sourceUri; + this.ImageUri = imageUri; this.Domain = domain; } 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 5ed82a6..84e2562 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.InlinedEmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs index c70f6aa..a3b4bba 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Request containing the `Content` for the model to embed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.EmbedContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request containing the `Content` for the model to embed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Request containing the `Content` for the model to embed. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request containing the `Content` for the model to embed. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - global::Google.Gemini.EmbedContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.EmbedContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index 67da504..5849d8d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -14,6 +14,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("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 @@ -21,12 +27,6 @@ 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, - object? metadata, - global::Google.Gemini.Status? error) + global::Google.Gemini.Status? error, + object? metadata) { this.Response = response; - this.Metadata = metadata; this.Error = error; + this.Metadata = metadata; } /// 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 3815f3f..9a6afbd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedRequest { - /// - /// Request to generate a completion from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.GenerateContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request to generate a completion from the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.GenerateContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedRequest /// /// Initializes a new instance of the class. /// - /// - /// Request to generate a completion from the model. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request to generate a completion from the model. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedRequest( - global::Google.Gemini.GenerateContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.GenerateContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index 4edfdb2..5993a5b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedResponse { - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// 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("response")] public global::Google.Gemini.GenerateContentResponse? 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 @@ -36,12 +36,12 @@ 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`. /// + /// + /// 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 @@ -50,12 +50,12 @@ public sealed partial class InlinedResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( - global::Google.Gemini.Status? error, global::Google.Gemini.GenerateContentResponse? response, + global::Google.Gemini.Status? error, object? metadata) { - this.Error = error; this.Response = response; + this.Error = error; this.Metadata = metadata; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs index 01a06fc..c37f215 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.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index 6b112b8..d8960e0 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 53b78dd..f5cb758 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCorporaResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned corpora. /// [global::System.Text.Json.Serialization.JsonPropertyName("corpora")] public global::System.Collections.Generic.IList? Corpora { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCorporaResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned corpora. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCorporaResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? corpora) + global::System.Collections.Generic.IList? corpora, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Corpora = corpora; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs index 841ed88..b64b02e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFileSearchStoresResponse { - /// - /// The returned rag_stores. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] - public global::System.Collections.Generic.IList? FileSearchStores { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The returned rag_stores. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] + public global::System.Collections.Generic.IList? FileSearchStores { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFileSearchStoresResponse /// /// Initializes a new instance of the class. /// - /// - /// The returned rag_stores. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// The returned rag_stores. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFileSearchStoresResponse( - global::System.Collections.Generic.IList? fileSearchStores, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? fileSearchStores) { - this.FileSearchStores = fileSearchStores; this.NextPageToken = nextPageToken; + this.FileSearchStores = fileSearchStores; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs index 7b51e54..00f5c2a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFilesResponse { - /// - /// The list of `File`s. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("files")] - public global::System.Collections.Generic.IList? Files { get; set; } - /// /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The list of `File`s. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("files")] + public global::System.Collections.Generic.IList? Files { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// The list of `File`s. - /// /// /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. /// + /// + /// The list of `File`s. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFilesResponse( - global::System.Collections.Generic.IList? files, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? files) { - this.Files = files; this.NextPageToken = nextPageToken; + this.Files = files; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs index 1c37480..040a93d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListModelsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned Models. /// [global::System.Text.Json.Serialization.JsonPropertyName("models")] public global::System.Collections.Generic.IList? Models { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListModelsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned Models. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListModelsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? models) + global::System.Collections.Generic.IList? models, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Models = models; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index ad5ab25..3136e0c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListOperationsResponse { - /// - /// The standard List next-page token. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// 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; } + /// /// A list of operations that matches the specified filter in the request. /// @@ -35,12 +35,12 @@ public sealed partial class ListOperationsResponse /// /// Initializes a new instance of the class. /// - /// - /// 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. /// + /// + /// The standard List next-page token. + /// /// /// A list of operations that matches the specified filter in the request. /// @@ -48,12 +48,12 @@ public sealed partial class ListOperationsResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( - string? nextPageToken, global::System.Collections.Generic.IList? unreachable, + string? nextPageToken, global::System.Collections.Generic.IList? operations) { - this.NextPageToken = nextPageToken; this.Unreachable = unreachable; + this.NextPageToken = nextPageToken; this.Operations = operations; } 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 6408eb3..d717cd0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class LogprobsResult { - /// - /// Length = total number of decoding steps. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] - public global::System.Collections.Generic.IList? TopCandidates { get; set; } - /// /// Sum of log probabilities for all tokens. /// @@ -26,6 +20,12 @@ public sealed partial class LogprobsResult [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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// - /// - /// Length = total number of decoding steps. - /// /// /// Sum of log probabilities for all tokens. /// /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// + /// + /// Length = total number of decoding steps. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( - global::System.Collections.Generic.IList? topCandidates, float? logProbabilitySum, - global::System.Collections.Generic.IList? chosenCandidates) + global::System.Collections.Generic.IList? chosenCandidates, + global::System.Collections.Generic.IList? topCandidates) { - this.TopCandidates = topCandidates; this.LogProbabilitySum = logProbabilitySum; this.ChosenCandidates = chosenCandidates; + this.TopCandidates = topCandidates; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index f1918ea..1c4558c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LogprobsResultCandidate { - /// - /// The candidate’s token id value. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] - public int? TokenId { get; set; } - /// /// The candidate’s token string value. /// [global::System.Text.Json.Serialization.JsonPropertyName("token")] public string? Token { get; set; } + /// + /// The candidate’s token id value. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] + public int? TokenId { get; set; } + /// /// The candidate's log probability. /// @@ -35,12 +35,12 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate’s token id value. - /// /// /// The candidate’s token string value. /// + /// + /// The candidate’s token id value. + /// /// /// The candidate's log probability. /// @@ -48,12 +48,12 @@ public sealed partial class LogprobsResultCandidate [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - int? tokenId, string? token, + int? tokenId, float? logProbability) { - this.TokenId = tokenId; this.Token = token; + this.TokenId = tokenId; this.LogProbability = logProbability; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index 574e5a5..72b2e21 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 @@ -9,34 +9,34 @@ 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. + /// Title of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] - public string? PlaceId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// Text description of the place answer. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// - /// URI reference of the place. + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] + public string? PlaceId { get; set; } /// - /// Title of the place. + /// URI reference of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// + /// + /// Title of the place. + /// + /// + /// Text description of the place answer. + /// /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. - /// /// /// URI reference of the place. /// - /// - /// Title 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( + string? title, + string? text, string? placeId, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, string? uri, - string? title, - string? text) + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { - this.PlaceId = placeId; - this.PlaceAnswerSources = placeAnswerSources; - this.Uri = uri; this.Title = title; this.Text = text; + this.PlaceId = placeId; + this.Uri = uri; + this.PlaceAnswerSources = placeAnswerSources; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs index 4c3d6fc..23f459e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class McpServer { - /// - /// The name of the MCPServer. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } + /// + /// The name of the MCPServer. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class McpServer /// /// Initializes a new instance of the class. /// - /// - /// The name of the MCPServer. - /// /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// + /// + /// The name of the MCPServer. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public McpServer( - string? name, - global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport) + global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport, + string? name) { - this.Name = name; this.StreamableHttpTransport = streamableHttpTransport; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs index f9e614f..b9c043c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModalityTokenCount { - /// - /// Number of tokens. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } - /// /// The modality associated with this token count. /// @@ -21,6 +15,12 @@ public sealed partial class ModalityTokenCount [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter))] public global::Google.Gemini.ModalityTokenCountModality? Modality { get; set; } + /// + /// Number of tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ModalityTokenCount /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens. - /// /// /// The modality associated with this token count. /// + /// + /// Number of tokens. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModalityTokenCount( - int? tokenCount, - global::Google.Gemini.ModalityTokenCountModality? modality) + global::Google.Gemini.ModalityTokenCountModality? modality, + int? tokenCount) { - this.TokenCount = tokenCount; this.Modality = modality; + this.TokenCount = tokenCount; } /// 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 04706d3..999f82d 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 @@ -9,58 +9,58 @@ namespace Google.Gemini public sealed partial class Model { /// - /// Maximum number of input tokens allowed for this model. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Maximum number of output tokens available for this model. + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. + /// Required. The 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// The maximum temperature this model can use. + /// 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("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Whether the model supports thinking. @@ -69,22 +69,22 @@ public sealed partial class Model public bool? Thinking { 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; } /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// A short description of the model. + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { 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. /// + /// + /// A short description of the model. + /// /// /// Maximum number of input tokens allowed for this model. /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` + /// + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. + /// + /// + /// Required. The 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. /// - /// - /// 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`. - /// - /// - /// 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. - /// /// /// 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` + /// + /// + /// 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. + /// /// /// Whether the model supports thinking. /// - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - /// - /// A short description of the model. + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( + string? description, int? inputTokenLimit, - float? topP, - string? name, - int? outputTokenLimit, - string? displayName, - global::System.Collections.Generic.IList? supportedGenerationMethods, - string? version, + float? temperature, int? topK, + string? baseModelId, + int? outputTokenLimit, float? maxTemperature, + string? name, + string? displayName, bool? thinking, - float? temperature, - string? baseModelId, - string? description) + float? topP, + global::System.Collections.Generic.IList? supportedGenerationMethods, + string? version) { + this.Description = description; this.InputTokenLimit = inputTokenLimit; - this.TopP = topP; - this.Name = name; + this.Temperature = temperature; + this.TopK = topK; + this.BaseModelId = baseModelId; this.OutputTokenLimit = outputTokenLimit; + this.MaxTemperature = maxTemperature; + this.Name = name; this.DisplayName = displayName; + this.Thinking = thinking; + this.TopP = topP; this.SupportedGenerationMethods = supportedGenerationMethods; this.Version = version; - this.TopK = topK; - this.MaxTemperature = maxTemperature; - this.Thinking = thinking; - this.Temperature = temperature; - this.BaseModelId = baseModelId; - this.Description = description; } /// 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 0da3ec0..ad41b18 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { - /// - /// The time at which the model will be retired. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] - public string? RetirementTime { get; set; } - /// /// The stage of the underlying model. /// @@ -27,6 +21,12 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } + /// + /// The time at which the model will be retired. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] + public string? RetirementTime { get; set; } + /// /// 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. /// - /// - /// The time at which the model will be retired. - /// /// /// The stage of the underlying model. /// /// /// A message explaining the model status. /// + /// + /// The time at which the model will be retired. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( - string? retirementTime, global::Google.Gemini.ModelStatusModelStage? modelStage, - string? message) + string? message, + string? retirementTime) { - this.RetirementTime = retirementTime; this.ModelStage = modelStage; this.Message = message; + this.RetirementTime = retirementTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index 851f5a0..85ebe97 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Operation { /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - - /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// 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("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). @@ -33,10 +27,16 @@ public sealed partial class Operation 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}`. + /// 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("name")] - public string? Name { get; set; } + [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; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,11 +47,8 @@ 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 normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// /// /// 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). @@ -59,24 +56,27 @@ public sealed partial class Operation /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( - object? metadata, - object? response, + string? name, global::Google.Gemini.Status? error, bool? done, - string? name) + object? response, + object? metadata) { - this.Metadata = metadata; - this.Response = response; + this.Name = name; this.Error = error; this.Done = done; - this.Name = name; + this.Response = response; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs index ad033f3..4b2e604 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs @@ -11,10 +11,22 @@ namespace Google.Gemini public sealed partial class Part { /// - /// 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`. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { 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; } + + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. @@ -23,10 +35,10 @@ public sealed partial class Part public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// /// URI based data. @@ -34,12 +46,6 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] public global::Google.Gemini.FileData? FileData { get; set; } - /// - /// Inline text. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { 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`. /// @@ -54,10 +60,16 @@ public sealed partial class Part public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// 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("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + + /// + /// Inline text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// /// Optional. Indicates if the part is thought from the model. @@ -66,10 +78,10 @@ public sealed partial class Part public bool? Thought { get; set; } /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// The 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("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. @@ -77,18 +89,6 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } - - /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -98,71 +98,71 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// The 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`. + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// /// /// 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. /// - /// - /// 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. /// /// /// URI based data. /// - /// - /// Inline text. - /// /// /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + /// + /// Inline text. /// /// /// Optional. Indicates if the part is thought from the model. /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - /// - /// 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.ToolResponse? toolResponse, - global::Google.Gemini.ExecutableCode? executableCode, global::Google.Gemini.Blob? inlineData, - global::Google.Gemini.FileData? fileData, - string? text, - global::Google.Gemini.ToolCall? toolCall, byte[]? thoughtSignature, - bool? thought, object? partMetadata, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + global::Google.Gemini.ExecutableCode? executableCode, global::Google.Gemini.FunctionCall? functionCall, - global::Google.Gemini.FunctionResponse? functionResponse) + global::Google.Gemini.FileData? fileData, + global::Google.Gemini.ToolCall? toolCall, + global::Google.Gemini.ToolResponse? toolResponse, + string? text, + bool? thought, + global::Google.Gemini.FunctionResponse? functionResponse, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult) { - this.ToolResponse = toolResponse; - this.ExecutableCode = executableCode; this.InlineData = inlineData; - this.FileData = fileData; - this.Text = text; - this.ToolCall = toolCall; this.ThoughtSignature = thoughtSignature; - this.Thought = thought; this.PartMetadata = partMetadata; - this.CodeExecutionResult = codeExecutionResult; + this.ExecutableCode = executableCode; this.FunctionCall = functionCall; + this.FileData = fileData; + this.ToolCall = toolCall; + this.ToolResponse = toolResponse; + this.Text = text; + this.Thought = thought; this.FunctionResponse = functionResponse; + this.CodeExecutionResult = codeExecutionResult; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs index be7e5da..9a41c01 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 @@ -15,13 +15,6 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Required. The role granted by this permission. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("role")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] - public global::Google.Gemini.PermissionRole? Role { get; set; } - /// /// Optional. Immutable. The type of the grantee. /// @@ -35,6 +28,13 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] public string? EmailAddress { get; set; } + /// + /// Required. The role granted by this permission. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("role")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] + public global::Google.Gemini.PermissionRole? Role { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -48,28 +48,28 @@ public sealed partial class Permission /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
/// Included only in responses /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( string? name, - global::Google.Gemini.PermissionRole? role, global::Google.Gemini.PermissionGranteeType? granteeType, - string? emailAddress) + string? emailAddress, + global::Google.Gemini.PermissionRole? role) { this.Name = name; - this.Role = role; this.GranteeType = granteeType; this.EmailAddress = emailAddress; + this.Role = role; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs index f7e526d..458cc7a 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 f6bf2c1..e2eafaa 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 @@ -14,6 +14,12 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] public string? FileSearchStore { get; set; } + /// + /// Optional. URI reference of the semantic retrieval document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } + /// /// Optional. Title of the document. /// @@ -32,12 +38,6 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// - /// Optional. URI reference of the semantic retrieval document. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -50,6 +50,9 @@ public sealed partial class RetrievedContext /// /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// + /// + /// Optional. URI reference of the semantic retrieval document. + /// /// /// Optional. Title of the document. /// @@ -59,24 +62,21 @@ public sealed partial class RetrievedContext /// /// Optional. User-provided metadata about the retrieved context. /// - /// - /// Optional. URI reference of the semantic retrieval document. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( string? fileSearchStore, + string? uri, string? title, string? text, - global::System.Collections.Generic.IList? customMetadata, - string? uri) + global::System.Collections.Generic.IList? customMetadata) { this.FileSearchStore = fileSearchStore; + this.Uri = uri; this.Title = title; this.Text = text; this.CustomMetadata = customMetadata; - this.Uri = uri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs index db35d02..a590167 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("googleMapsUri")] public string? GoogleMapsUri { get; set; } - /// - /// The ID of the review snippet. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] - public string? ReviewId { get; set; } - /// /// Title of the review. /// [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// The ID of the review snippet. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] + public string? ReviewId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ReviewSnippet /// /// A link that corresponds to the user review on Google Maps. /// - /// - /// The ID of the review snippet. - /// /// /// Title of the review. /// + /// + /// The ID of the review snippet. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( string? googleMapsUri, - string? reviewId, - string? title) + string? title, + string? reviewId) { this.GoogleMapsUri = googleMapsUri; - this.ReviewId = reviewId; this.Title = title; + this.ReviewId = reviewId; } /// 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 d173960..5b9fe83 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 @@ -15,6 +15,12 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } + /// + /// Was this content blocked because of this rating? + /// + [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] + public bool? Blocked { get; set; } + /// /// Required. The probability of harm for this content. /// @@ -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 /// @@ -40,23 +40,23 @@ public sealed partial class SafetyRating /// /// Required. The category for this rating. /// - /// - /// Required. The probability of harm for this content. - /// /// /// Was this content blocked because of this rating? /// + /// + /// Required. The probability of harm for this content. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( global::Google.Gemini.SafetyRatingCategory? category, - global::Google.Gemini.SafetyRatingProbability? probability, - bool? blocked) + bool? blocked, + global::Google.Gemini.SafetyRatingProbability? probability) { this.Category = category; - this.Probability = probability; this.Blocked = blocked; + this.Probability = probability; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index 3cf4eda..9e820d0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs @@ -9,22 +9,16 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } - - /// - /// Optional. Indicates if the value may be null. + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { 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. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } /// /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. @@ -33,34 +27,41 @@ public sealed partial class Schema public string? Pattern { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("type")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] + public global::Google.Gemini.SchemaType? Type { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { get; set; } + + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } /// /// Optional. Minimum number of the elements for Type.ARRAY. @@ -69,77 +70,76 @@ public sealed partial class Schema public string? MinItems { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("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"]} + /// 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("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// - /// Optional. The title of the schema. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// Optional. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Required. Data type. + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [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("maxProperties")] + public string? MaxProperties { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,65 +150,50 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. - /// - /// - /// Optional. Indicates if the value may be null. - /// - /// - /// 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. Pattern of the Type.STRING to restrict a string to a regular expression. - /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// /// /// Optional. Maximum number of the elements for Type.ARRAY. /// - /// - /// Optional. Required properties of Type.OBJECT. + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// + /// Required. Data type. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// /// /// Optional. Properties of Type.OBJECT. /// - /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} - /// /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. - /// - /// - /// Optional. 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. Minimum number of the elements for Type.ARRAY. /// - /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// /// /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - /// - /// Required. Data type. + /// + /// Optional. The title of the schema. /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. Minimum number of the properties for Type.OBJECT. + /// + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// /// Optional. Maximum length of the Type.STRING @@ -216,55 +201,70 @@ public sealed partial class Schema /// /// Optional. Example of the object. Will only populated when the object is the root. /// + /// + /// Optional. Required properties of Type.OBJECT. + /// + /// + /// Optional. Maximum number of the properties for Type.OBJECT. + /// + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// + /// Optional. Indicates if the value may be null. + /// + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - object? @default, - bool? nullable, - global::Google.Gemini.Schema? items, - string? pattern, - string? format, + global::System.Collections.Generic.IList? @enum, string? maxItems, - global::System.Collections.Generic.IList? required, - string? minProperties, - string? minLength, - string? minItems, + string? pattern, + global::Google.Gemini.SchemaType? type, + object? @default, + global::System.Collections.Generic.IList? anyOf, global::System.Collections.Generic.Dictionary? properties, - global::System.Collections.Generic.IList? @enum, double? minimum, - global::System.Collections.Generic.IList? anyOf, - string? title, - string? maxProperties, - string? description, - global::System.Collections.Generic.IList? propertyOrdering, - global::Google.Gemini.SchemaType? type, double? maximum, + string? minItems, + string? minLength, + global::System.Collections.Generic.IList? propertyOrdering, + string? title, + string? minProperties, + global::Google.Gemini.Schema? items, string? maxLength, - object? example) + object? example, + global::System.Collections.Generic.IList? required, + string? maxProperties, + string? format, + bool? nullable, + string? description) { - this.Default = @default; - this.Nullable = nullable; - this.Items = items; - this.Pattern = pattern; - this.Format = format; + this.Enum = @enum; this.MaxItems = maxItems; - this.Required = required; - this.MinProperties = minProperties; - this.MinLength = minLength; - this.MinItems = minItems; + this.Pattern = pattern; + this.Type = type; + this.Default = @default; + this.AnyOf = anyOf; this.Properties = properties; - this.Enum = @enum; this.Minimum = minimum; - this.AnyOf = anyOf; - this.Title = title; - this.MaxProperties = maxProperties; - this.Description = description; - this.PropertyOrdering = propertyOrdering; - this.Type = type; this.Maximum = maximum; + this.MinItems = minItems; + this.MinLength = minLength; + this.PropertyOrdering = propertyOrdering; + this.Title = title; + this.MinProperties = minProperties; + this.Items = items; this.MaxLength = maxLength; this.Example = example; + this.Required = required; + this.MaxProperties = maxProperties; + this.Format = format; + this.Nullable = nullable; + this.Description = description; } /// 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 d7b2aff..44773a7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class SpeechConfig { + /// + /// The configuration for the multi-speaker setup. + /// + [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`. /// @@ -20,12 +26,6 @@ public sealed partial class SpeechConfig [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// - /// The configuration for the multi-speaker setup. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] - public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// + /// + /// The configuration for the multi-speaker setup. + /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// /// /// The configuration for the voice to use. /// - /// - /// The configuration for the multi-speaker setup. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( + global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, string? languageCode, - global::Google.Gemini.VoiceConfig? voiceConfig, - global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) + global::Google.Gemini.VoiceConfig? voiceConfig) { + this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; this.LanguageCode = languageCode; this.VoiceConfig = voiceConfig; - this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index fcc62f1..a5a1697 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Status { - /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } - /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// [global::System.Text.Json.Serialization.JsonPropertyName("details")] public global::System.Collections.Generic.IList? Details { get; set; } + /// + /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// The status code, which should be an enum value of google.rpc.Code. /// @@ -35,12 +35,12 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// - /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. - /// /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// + /// + /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + /// /// /// The status code, which should be an enum value of google.rpc.Code. /// @@ -48,12 +48,12 @@ public sealed partial class Status [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( - string? message, global::System.Collections.Generic.IList? details, + string? message, int? code) { - this.Message = message; this.Details = details; + this.Message = message; this.Code = code; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index def6f44..27afccc 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 @@ -26,18 +26,18 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] public string? SseReadTimeout { get; set; } - /// - /// Whether to close the client session when the transport closes. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] - public bool? TerminateOnClose { get; set; } - /// /// HTTP timeout for regular operations. /// [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] public string? Timeout { get; set; } + /// + /// Whether to close the client session when the transport closes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] + public bool? TerminateOnClose { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -56,12 +56,12 @@ public sealed partial class StreamableHttpTransport /// /// Timeout for SSE read operations. /// - /// - /// Whether to close the client session when the transport closes. - /// /// /// 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 @@ -69,14 +69,14 @@ public StreamableHttpTransport( string? url, global::System.Collections.Generic.Dictionary? headers, string? sseReadTimeout, - bool? terminateOnClose, - string? timeout) + string? timeout, + bool? terminateOnClose) { this.Url = url; this.Headers = headers; this.SseReadTimeout = sseReadTimeout; - this.TerminateOnClose = terminateOnClose; this.Timeout = timeout; + this.TerminateOnClose = terminateOnClose; } /// 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 e019186..56bceee 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 @@ -21,16 +21,16 @@ public sealed partial class Tool public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// Tool to support URL context retrieval. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// - /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] - public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } /// /// Optional. MCP Servers to connect to. @@ -39,10 +39,10 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? McpServers { get; set; } /// - /// Tool to support URL context retrieval. + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] - public global::Google.Gemini.UrlContext? UrlContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] + public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. @@ -50,18 +50,18 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] public global::Google.Gemini.FileSearch? FileSearch { get; set; } - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } - /// /// Computer Use tool type. /// [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -77,50 +77,50 @@ public sealed partial class Tool /// /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// + /// + /// Tool to support URL context retrieval. + /// /// /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// - /// - /// 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. - /// /// /// Optional. MCP Servers to connect to. /// - /// - /// Tool to support URL context retrieval. + /// + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. - /// /// /// Computer Use tool type. /// + /// + /// The 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.GoogleSearchRetrieval? googleSearchRetrieval, global::Google.Gemini.GoogleSearch? googleSearch, + global::Google.Gemini.UrlContext? urlContext, global::Google.Gemini.CodeExecution? codeExecution, - global::System.Collections.Generic.IList? functionDeclarations, global::System.Collections.Generic.IList? mcpServers, - global::Google.Gemini.UrlContext? urlContext, + global::System.Collections.Generic.IList? functionDeclarations, global::Google.Gemini.FileSearch? fileSearch, - global::Google.Gemini.GoogleMaps? googleMaps, - global::Google.Gemini.ComputerUse? computerUse) + global::Google.Gemini.ComputerUse? computerUse, + global::Google.Gemini.GoogleMaps? googleMaps) { this.GoogleSearchRetrieval = googleSearchRetrieval; this.GoogleSearch = googleSearch; + this.UrlContext = urlContext; this.CodeExecution = codeExecution; - this.FunctionDeclarations = functionDeclarations; this.McpServers = mcpServers; - this.UrlContext = urlContext; + this.FunctionDeclarations = functionDeclarations; this.FileSearch = fileSearch; - this.GoogleMaps = googleMaps; this.ComputerUse = computerUse; + this.GoogleMaps = googleMaps; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs index eb31d18..dfede8e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ToolCall { - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Required. The type of tool that was called. /// @@ -21,6 +15,12 @@ public sealed partial class ToolCall [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter))] public global::Google.Gemini.ToolCallToolType? ToolType { get; set; } + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// @@ -36,12 +36,12 @@ public sealed partial class ToolCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. - /// /// /// Required. The type of tool that was called. /// + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// @@ -49,12 +49,12 @@ public sealed partial class ToolCall [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( - string? id, global::Google.Gemini.ToolCallToolType? toolType, + string? id, object? args) { - this.Id = id; this.ToolType = toolType; + this.Id = id; this.Args = args; } 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 78771bb..3a67d3c 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ToolConfig { + /// + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] + public bool? IncludeServerSideToolInvocations { get; set; } + /// /// Configuration for specifying function calling behavior. /// @@ -20,12 +26,6 @@ public sealed partial class ToolConfig [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 /// @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// + /// + /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. + /// /// /// Configuration for specifying function calling behavior. /// /// /// Retrieval config. /// - /// - /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( + bool? includeServerSideToolInvocations, global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - global::Google.Gemini.RetrievalConfig? retrievalConfig, - bool? includeServerSideToolInvocations) + global::Google.Gemini.RetrievalConfig? retrievalConfig) { + this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; this.FunctionCallingConfig = functionCallingConfig; 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 668206d..5155110 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs @@ -9,18 +9,10 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses + /// Tuned model as a source for training a new model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. @@ -29,23 +21,37 @@ public sealed partial class TunedModel public float? TopP { get; set; } /// - /// Output only. The timestamp when this model was created.
+ /// Tuning tasks that create tuned models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } + + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { get; set; } + + /// + /// Output only. The state of the tuned model.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Optional. 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; } /// - /// Tuned model as a source for training a new model. + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Optional. 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. @@ -54,22 +60,17 @@ public sealed partial class TunedModel public int? TopK { get; set; } /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } - - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Tuning tasks that create tuned models. + /// Optional. List of project numbers that have read access to the tuned model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// /// Optional. A short description of this model. @@ -84,12 +85,11 @@ public sealed partial class TunedModel public float? Temperature { get; set; } /// - /// Output only. The state of the tuned model.
+ /// Output only. The timestamp when this model was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] - public global::Google.Gemini.TunedModelState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -100,38 +100,38 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses - /// - /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses + /// + /// Tuned model as a source for training a new model. /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Output only. The timestamp when this model was created.
+ /// + /// Tuning tasks that create tuned models. + /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// Output only. The state of the tuned model.
/// Included only in responses /// - /// - /// Optional. 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 /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Optional. A short description of this model. @@ -139,41 +139,41 @@ public sealed partial class TunedModel /// /// 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 state of the tuned model.
+ /// + /// Output only. The timestamp when this model was created.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - string? name, - string? updateTime, - float? topP, - string? createTime, - global::System.Collections.Generic.IList? readerProjectNumbers, global::Google.Gemini.TunedModelSource? tunedModelSource, - int? topK, + float? topP, + global::Google.Gemini.TuningTask? tuningTask, string? baseModel, + global::Google.Gemini.TunedModelState? state, + string? name, string? displayName, - global::Google.Gemini.TuningTask? tuningTask, + int? topK, + string? updateTime, + global::System.Collections.Generic.IList? readerProjectNumbers, string? description, float? temperature, - global::Google.Gemini.TunedModelState? state) + string? createTime) { - this.Name = name; - this.UpdateTime = updateTime; - this.TopP = topP; - this.CreateTime = createTime; - this.ReaderProjectNumbers = readerProjectNumbers; this.TunedModelSource = tunedModelSource; - this.TopK = topK; + this.TopP = topP; + this.TuningTask = tuningTask; this.BaseModel = baseModel; + this.State = state; + this.Name = name; this.DisplayName = displayName; - this.TuningTask = tuningTask; + this.TopK = topK; + this.UpdateTime = updateTime; + this.ReaderProjectNumbers = readerProjectNumbers; this.Description = description; this.Temperature = temperature; - this.State = state; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index 2e61948..c17a411 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 @@ -23,18 +23,18 @@ public sealed partial class TuningSnapshot public float? MeanLoss { get; set; } /// - /// Output only. The timestamp when this metric was computed.
+ /// Output only. The 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 timestamp when this metric was computed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -53,27 +53,27 @@ public sealed partial class TuningSnapshot /// 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 - /// /// /// Output only. The epoch this step was part of.
/// Included only in responses /// + /// + /// Output only. The timestamp when this metric was computed.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( int? step, float? meanLoss, - string? computeTime, - int? epoch) + int? epoch, + string? computeTime) { this.Step = step; this.MeanLoss = meanLoss; - this.ComputeTime = computeTime; this.Epoch = epoch; + this.ComputeTime = computeTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index c42dfb8..d65e292 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 @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class TuningTask { /// - /// Output only. The timestamp when tuning this model completed.
+ /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] - public string? CompleteTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } /// - /// Output only. Metrics collected during tuning.
+ /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] - public global::System.Collections.Generic.IList? Snapshots { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] + public string? CompleteTime { get; set; } /// /// Dataset for training or validation. @@ -29,17 +29,17 @@ public sealed partial class TuningTask public global::Google.Gemini.Dataset? TrainingData { get; set; } /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// Output only. Metrics collected during tuning.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] - public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// - /// Output only. The timestamp when tuning this model started.
- /// Included only in responses + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] + public global::Google.Gemini.Hyperparameters? Hyperparameters { 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 started.
+ /// Included only in responses + /// /// /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// + /// + /// Dataset for training or validation. + /// /// /// Output only. Metrics collected during tuning.
/// Included only in responses /// - /// - /// Dataset for training or validation. - /// /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - /// - /// Output only. The timestamp when tuning this model started.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( + string? startTime, string? completeTime, - global::System.Collections.Generic.IList? snapshots, global::Google.Gemini.Dataset? trainingData, - global::Google.Gemini.Hyperparameters? hyperparameters, - string? startTime) + global::System.Collections.Generic.IList? snapshots, + global::Google.Gemini.Hyperparameters? hyperparameters) { + this.StartTime = startTime; this.CompleteTime = completeTime; - this.Snapshots = snapshots; this.TrainingData = trainingData; + this.Snapshots = snapshots; this.Hyperparameters = hyperparameters; - this.StartTime = startTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs index d2fe110..961d09f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class UrlMetadata { - /// - /// Retrieved url by the tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievedUrl")] - public string? RetrievedUrl { get; set; } - /// /// Status of the url retrieval. /// @@ -21,6 +15,12 @@ public sealed partial class UrlMetadata [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter))] public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? UrlRetrievalStatus { get; set; } + /// + /// Retrieved url by the tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievedUrl")] + public string? RetrievedUrl { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class UrlMetadata /// /// Initializes a new instance of the class. /// - /// - /// Retrieved url by the tool. - /// /// /// Status of the url retrieval. /// + /// + /// Retrieved url by the tool. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UrlMetadata( - string? retrievedUrl, - global::Google.Gemini.UrlMetadataUrlRetrievalStatus? urlRetrievalStatus) + global::Google.Gemini.UrlMetadataUrlRetrievalStatus? urlRetrievalStatus, + string? retrievedUrl) { - this.RetrievedUrl = retrievedUrl; this.UrlRetrievalStatus = urlRetrievalStatus; + this.RetrievedUrl = retrievedUrl; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs index 559b182..adca217 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 @@ -9,18 +9,23 @@ namespace Google.Gemini public sealed partial class UsageMetadata { /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] + public int? ThoughtsTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } + + /// + /// Total number of tokens across all the generated response candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// /// Output only. List of modalities of the cached content in the request input.
@@ -30,35 +35,37 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// - /// Total token count for the generation request (prompt + response candidates). + /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// Output only. List of modalities that were processed 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("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Total token count for the generation request (prompt + response candidates). /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } /// - /// 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) /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] - public int? ThoughtsTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. List of modalities that were processed for tool-use request inputs.
@@ -67,13 +74,6 @@ public sealed partial class UsageMetadata [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 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } - /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -97,20 +97,31 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// + /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses + /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + /// + /// Total number of tokens across all the generated response candidates. /// /// /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses + /// + /// + /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Included only in responses + /// + /// + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses /// /// /// Total token count for the generation request (prompt + response candidates). @@ -118,21 +129,10 @@ public sealed partial class UsageMetadata /// /// Number of tokens in the cached part of the prompt (the cached content) /// - /// - /// Total number of tokens across all the generated response candidates. - /// - /// - /// Output only. Number of tokens of thoughts for thinking models.
- /// Included only in responses - /// /// /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses - /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
/// Included only in responses @@ -145,29 +145,29 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( + int? thoughtsTokenCount, + int? promptTokenCount, + int? candidatesTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, + global::System.Collections.Generic.IList? candidatesTokensDetails, int? toolUsePromptTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, - int? promptTokenCount, int? totalTokenCount, int? cachedContentTokenCount, - int? candidatesTokenCount, - int? thoughtsTokenCount, global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - global::System.Collections.Generic.IList? candidatesTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { + this.ThoughtsTokenCount = thoughtsTokenCount; + this.PromptTokenCount = promptTokenCount; + this.CandidatesTokenCount = candidatesTokenCount; + this.CacheTokensDetails = cacheTokensDetails; + this.CandidatesTokensDetails = candidatesTokensDetails; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; this.PromptTokensDetails = promptTokensDetails; - this.CacheTokensDetails = cacheTokensDetails; - this.PromptTokenCount = promptTokenCount; this.TotalTokenCount = totalTokenCount; this.CachedContentTokenCount = cachedContentTokenCount; - this.CandidatesTokenCount = candidatesTokenCount; - this.ThoughtsTokenCount = thoughtsTokenCount; this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.CandidatesTokensDetails = candidatesTokensDetails; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs index 31d654f..76dde67 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class Web { /// - /// Output only. Title of the chunk.
+ /// Output only. URI reference of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Output only. URI reference of the chunk.
+ /// Output only. Title of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class Web /// /// Initializes a new instance of the class. /// - /// - /// Output only. Title of the chunk.
- /// Included only in responses - /// /// /// Output only. URI reference of the chunk.
/// Included only in responses /// + /// + /// Output only. Title of the chunk.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Web( - string? title, - string? uri) + string? uri, + string? title) { - this.Title = title; this.Uri = uri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs index 6775dc9..df96fff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class WhiteSpaceConfig { - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] - public int? MaxOverlapTokens { get; set; } - /// /// 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. /// [global::System.Text.Json.Serialization.JsonPropertyName("maxTokensPerChunk")] public int? MaxTokensPerChunk { get; set; } + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] + public int? MaxOverlapTokens { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class WhiteSpaceConfig /// /// Initializes a new instance of the class. /// - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// /// /// 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. /// + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public WhiteSpaceConfig( - int? maxOverlapTokens, - int? maxTokensPerChunk) + int? maxTokensPerChunk, + int? maxOverlapTokens) { - this.MaxOverlapTokens = maxOverlapTokens; this.MaxTokensPerChunk = maxTokensPerChunk; + this.MaxOverlapTokens = maxOverlapTokens; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 71a437c..e2946da 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,38 +11,57 @@ } ], "paths": { - "/models/{modelsId}:batchEmbedContents": { - "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "/files/{filesId}": { + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "modelsId", + "name": "filesId", "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 `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^files/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/File" + } } } } - }, + } + }, + "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/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -50,27 +69,50 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "/files": { + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", + "schema": { + "type": "string" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListFilesResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/CreateFileRequest" } } } @@ -81,7 +123,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -89,27 +131,15 @@ } } }, - "/models/{modelsId}:countTokens": { + "/files:register": { "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], + "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": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/RegisterFilesRequest" } } } @@ -120,7 +150,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } @@ -128,29 +158,38 @@ } } }, - "/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", + "/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": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -158,19 +197,19 @@ } } }, - "/models/{modelsId}:asyncBatchEmbedContent": { + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { "post": { "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -197,19 +236,19 @@ } } }, - "/models/{modelsId}:embedContent": { + "/tunedModels/{tunedModelsId}:transferOwnership": { "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -217,7 +256,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -228,7 +267,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -236,15 +275,23 @@ } } }, - "/models": { + "/tunedModels": { "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", + "schema": { + "type": "string" + } + }, { "name": "pageSize", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -253,7 +300,7 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `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" } @@ -265,27 +312,23 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - } - }, - "/models/{modelsId}:generateContent": { + }, "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", "parameters": [ { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "tunedModelId", + "in": "query", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "string" } } ], @@ -293,7 +336,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/TunedModel" } } } @@ -304,7 +347,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -312,134 +355,93 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "/tunedModels/{tunedModelsId}": { + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/models/{modelsId}/operations": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + }, + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" + "pattern": "^tunedModels/[^/]+$" } }, { - "name": "returnPartialSuccess", + "name": "updateMask", "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.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "boolean" + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/models/{modelsId}/operations/{operationsId}": { + }, "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -449,7 +451,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TunedModel" } } } @@ -457,15 +459,27 @@ } } }, - "/cachedContents": { + "/tunedModels/{tunedModelsId}:batchGenerateContent": { "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -476,42 +490,51 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.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 cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -519,47 +542,27 @@ } } }, - "/cachedContents/{cachedContentsId}": { + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } + "type": "string" } - } - } - }, - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", - "parameters": [ + }, { - "name": "cachedContentsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -569,53 +572,70 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + } + }, + "/tunedModels/{tunedModelsId}/operations": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "tunedModels.operations.list", "parameters": [ { - "name": "cachedContentsId", + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } }, { - "name": "updateMask", + "name": "pageSize", "in": "query", - "description": "The list of fields to update.", + "description": "The standard list page size.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -623,19 +643,19 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { + "/tunedModels/{tunedModelsId}/permissions": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { - "name": "dynamicId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -643,7 +663,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -654,51 +674,52 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/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", + }, + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { - "name": "dynamicId", + "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": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -706,26 +727,37 @@ } } }, - "/files": { - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CreateFileRequest" - } + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -733,24 +765,25 @@ } }, "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.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": "tunedModelsId", + "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": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -760,27 +793,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -788,7 +836,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -799,7 +847,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/Permission" } } } @@ -807,19 +855,19 @@ } } }, - "/files/{filesId}": { - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "filesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -829,25 +877,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/FileSearchStore" } } } } } }, - "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "filesId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -857,7 +913,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Empty" } } } @@ -865,15 +921,27 @@ } } }, - "/files:register": { + "/fileSearchStores/{fileSearchStoresId}:importFile": { "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", + "parameters": [ + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -884,7 +952,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -892,19 +960,26 @@ } } }, - "/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", + "/fileSearchStores": { + "get": { + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be deleted.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -914,35 +989,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } } } }, - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "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/Operation" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -950,47 +1022,37 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "batchesId", + "name": "operationsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/Operation" } } } @@ -998,19 +1060,27 @@ } } }, - "/batches/{batchesId}:cancel": { - "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "batchesId", + "name": "operationsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -1020,7 +1090,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -1028,42 +1098,35 @@ } } }, - "/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", + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", + "name": "force", "in": "query", - "description": "The standard list page token.", + "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": "string" + "type": "boolean" } }, { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "name": "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": "boolean" + "type": "string", + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -1073,55 +1136,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + }, + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "batchesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "name": "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/EmbedContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/Document" } } } @@ -1129,15 +1180,15 @@ } } }, - "/generatedFiles": { + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "description": "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" @@ -1146,10 +1197,20 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "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/[^/]+$" + } } ], "responses": { @@ -1158,7 +1219,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -1166,37 +1227,38 @@ } } }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + "/models/{modelsId}:embedContent": { + "post": { + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "generatedFilesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -1204,50 +1266,27 @@ } } }, - "/fileSearchStores": { - "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$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/GenerateContentRequest" } } } @@ -1258,7 +1297,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1266,19 +1310,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { + "/models/{modelsId}:asyncBatchEmbedContent": { "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1286,7 +1330,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -1305,65 +1349,77 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + } + }, + "/models/{modelsId}:batchEmbedContents": { + "post": { + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -1371,81 +1427,144 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + "/models": { + "get": { + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "force", + "name": "pageToken", "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", "schema": { - "type": "boolean" + "type": "string" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListModelsResponse" + } + } + } + } + } + } + }, + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", + "parameters": [ { - "name": "documentsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/models/{modelsId}": { "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+$" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Model" + } + } + } + } + } + } + }, + "/models/{modelsId}:countTokens": { + "post": { + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", + "parameters": [ { - "name": "documentsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CountTokensRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -1453,15 +1572,33 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { + "/models/{modelsId}/operations": { "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -1470,19 +1607,17 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "type": "boolean" } } ], @@ -1492,7 +1627,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1500,10 +1635,10 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "/models/{modelsId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "operationId": "models.operations.get", "parameters": [ { "name": "operationsId", @@ -1514,13 +1649,13 @@ } }, { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], @@ -1538,37 +1673,38 @@ } } }, - "/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", + "/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": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "dynamicId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1576,68 +1712,59 @@ } } }, - "/tunedModels": { - "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "/dynamic/{dynamicId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "name": "dynamicId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^dynamic/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, + } + }, + "/corpora": { "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", - "parameters": [ - { - "name": "tunedModelId", - "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", - "schema": { - "type": "string" - } - } - ], + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Corpus" } } } @@ -1648,73 +1775,62 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Corpus" } } } } } - } - }, - "/tunedModels/{tunedModelsId}": { - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + }, + "get": { + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/ListCorporaResponse" } } } } } - }, + } + }, + "/corpora/{corporaId}": { "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -1724,7 +1840,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Corpus" } } } @@ -1732,17 +1848,25 @@ } }, "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -1760,38 +1884,37 @@ } } }, - "/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", + "/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": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1799,19 +1922,36 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + "/corpora/{corporaId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1819,7 +1959,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1830,90 +1970,79 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", + }, + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/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" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -1921,19 +2050,19 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "/corpora/{corporaId}/permissions": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -1941,7 +2070,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1952,125 +2081,111 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + }, + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, + "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": "string" + "type": "integer", + "format": "int32" } }, { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "name": "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", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + } + }, + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "post": { + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } } } - }, + } + }, + "/batches/{batchesId}": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", "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.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -2080,44 +2195,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions": { - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + }, + "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": "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": "batchesId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -2127,44 +2223,37 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Empty" } } } } } - }, + } + }, + "/batches/{batchesId}:cancel": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } @@ -2172,10 +2261,10 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { + "/batches": { "get": { "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "operationId": "batches.list", "parameters": [ { "name": "filter", @@ -2185,16 +2274,6 @@ "type": "string" } }, - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, { "name": "pageSize", "in": "query", @@ -2235,37 +2314,47 @@ } } }, - "/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": { + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -2273,55 +2362,67 @@ } } }, - "/corpora/{corporaId}": { - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^batches/[^/]+$" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/EmbedContentBatch" } } } } } - }, + } + }, + "/cachedContents/{cachedContentsId}": { "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "corporaId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -2331,23 +2432,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/corpora": { - "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", + }, + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", + "parameters": [ + { + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "schema": { + "type": "string", + "pattern": "^cachedContents/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CachedContent" } } } @@ -2358,32 +2478,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CachedContent" } } } } } }, - "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^cachedContents/[^/]+$" } } ], @@ -2393,7 +2506,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -2401,27 +2514,26 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { + "/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": "corpora.operations.get", + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { - "name": "operationsId", - "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": "corporaId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "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": "^corpora/[^/]+/operations/[^/]+$" + "type": "string" } } ], @@ -2431,52 +2543,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } } } - } - }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", - "parameters": [ - { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "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" } } } @@ -2487,33 +2568,34 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/CachedContent" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/generatedFiles": { + "get": { + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "type": "string" } } ], @@ -2523,19 +2605,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } } } - }, + } + }, + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "generatedFiles.operations.get", "parameters": [ { - "name": "permissionsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -2543,13 +2627,13 @@ } }, { - "name": "corporaId", + "name": "generatedFilesId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -2559,91 +2643,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - } - } - } - }, - "/corpora/{corporaId}/permissions": { - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" - } - } - } - } - } - }, - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", - "parameters": [ - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } @@ -2654,201 +2654,109 @@ }, "components": { "schemas": { - "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", - "type": "object", - "properties": { - "allowedFunctionNames": { - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "type": "array", - "items": { - "type": "string" - } - }, - "mode": { - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "type": "string", - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ], - "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ] - } - } - }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", - "type": "object", + "InlinedResponses": { "properties": { "inlinedResponses": { "readOnly": true, - "$ref": "#/components/schemas/InlinedEmbedContentResponses", - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." - }, - "responsesFile": { - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "type": "string" - } - } - }, - "Status": { - "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", - "type": "object", - "properties": { - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", - "type": "string" - }, - "details": { - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", + "description": "Output only. The responses to the requests in the batch.", "type": "array", "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "$ref": "#/components/schemas/InlinedResponse" } - }, - "code": { - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer", - "format": "int32" } - } - }, - "InlinedEmbedContentResponses": { + }, "description": "The responses to the requests in the batch.", - "type": "object", - "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "readOnly": true - } - } + "type": "object" }, "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", - "type": "object", "properties": { - "maxOutputTokens": { - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "type": "integer", - "format": "int32" + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", + "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)." + ], + "enum": [ + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ] }, - "topK": { - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "integer", - "format": "int32" + "frequencyPenalty": { + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "type": "number", + "format": "float" }, - "candidateCount": { - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "type": "integer", - "format": "int32" + "responseSchema": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details." + }, + "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" + }, + "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" }, "responseJsonSchema": { "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." }, - "seed": { + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" + }, + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" + }, + "candidateCount": { "format": "int32", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "type": "integer" + }, + "maxOutputTokens": { + "format": "int32", + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", "type": "integer" }, + "temperature": { + "format": "float", + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "type": "number" + }, "logprobs": { "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", "type": "integer", "format": "int32" }, + "seed": { + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "type": "integer", + "format": "int32" + }, "speechConfig": { "description": "Optional. The speech generation config.", "$ref": "#/components/schemas/SpeechConfig" }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" - }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" - }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "type": "number", - "format": "float" - }, - "responseSchema": { - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", - "$ref": "#/components/schemas/Schema" - }, "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" }, - "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" - }, - "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" - }, - "stopSequences": { - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", - "type": "array", - "items": { - "type": "string" - } - }, - "mediaResolution": { - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ], - "description": "Optional. If specified, the media resolution specified will be used.", - "type": "string", - "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)." - ] - }, - "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.", - "$ref": "#/components/schemas/ImageConfig" - }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" }, "responseModalities": { "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", "type": "array", "items": { - "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", @@ -2856,954 +2764,966 @@ "AUDIO", "VIDEO" ], + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], "type": "string" } }, - "frequencyPenalty": { - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "type": "number", - "format": "float" - } - } - }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", - "type": "object", - "properties": { - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", - "type": "string" - }, - "headers": { - "additionalProperties": { + "stopSequences": { + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", + "type": "array", + "items": { "type": "string" - }, - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "type": "object" + } }, - "sseReadTimeout": { - "format": "google-duration", - "description": "Timeout for SSE read operations.", - "type": "string" + "topK": { + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "integer", + "format": "int32" }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", "type": "boolean" + } + }, + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", + "type": "object" + }, + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", + "type": "object", + "properties": { + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GeneratedFile" + } }, - "timeout": { - "format": "google-duration", - "description": "HTTP timeout for regular operations.", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", "type": "string" } } }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", - "type": "object", + "GenerateContentBatch": { "properties": { - "toolUsePromptTokenCount": { - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "type": "integer", + "state": { + "description": "Output only. The state of the batch.", "readOnly": true, - "format": "int32" + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "type": "string" }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "type": "string", "readOnly": true }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, + "batchStats": { + "$ref": "#/components/schemas/BatchStats", + "description": "Output only. Stats about the batch.", "readOnly": true }, - "promptTokenCount": { - "format": "int32", - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "type": "integer" + "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" }, - "totalTokenCount": { - "format": "int32", - "description": "Total token count for the generation request (prompt + response candidates).", - "type": "integer" + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "cachedContentTokenCount": { - "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "type": "integer" + "createTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", + "type": "string", + "readOnly": true }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", - "type": "integer", - "format": "int32" + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "thoughtsTokenCount": { + "output": { + "$ref": "#/components/schemas/GenerateContentBatchOutput", "readOnly": true, - "format": "int32", - "description": "Output only. Number of tokens of thoughts for thinking models.", - "type": "integer" + "description": "Output only. The output of the batch request." }, - "toolUsePromptTokensDetails": { + "endTime": { "readOnly": true, - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "candidatesTokensDetails": { - "description": "Output only. List of modalities that were returned in the response.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true + "description": "Output only. The time at which the batch processing completed.", + "type": "string", + "format": "google-datetime" }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", + "updateTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", + "type": "string", "readOnly": true }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "inputConfig": { + "$ref": "#/components/schemas/InputConfig", + "description": "Required. Input configuration of the instances on which batch processing are performed." } - } + }, + "description": "A resource representing a batch of `GenerateContent` requests.", + "type": "object" }, - "FunctionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "type": "object", + "ChunkingConfig": { "properties": { - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" - }, - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", - "type": "string" - }, - "args": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The function parameters and values in JSON object format.", - "type": "object" + "whiteSpaceConfig": { + "$ref": "#/components/schemas/WhiteSpaceConfig", + "description": "White space chunking configuration." } - } + }, + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "type": "object" }, - "CitationSource": { + "Candidate": { "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" + "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, + "$ref": "#/components/schemas/CitationMetadata" }, - "endIndex": { - "description": "Optional. End of the attributed segment, exclusive.", + "groundingAttributions": { + "readOnly": true, + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingAttribution" + } + }, + "avgLogprobs": { + "format": "double", + "readOnly": true, + "description": "Output only. Average log probability score of the candidate.", + "type": "number" + }, + "finishReason": { + "type": "string", + "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" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response." + ], + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "readOnly": true + }, + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "readOnly": true, + "$ref": "#/components/schemas/UrlContextMetadata" + }, + "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } + }, + "finishMessage": { + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "type": "string", + "readOnly": true + }, + "tokenCount": { + "readOnly": true, + "description": "Output only. Token count for this candidate.", "type": "integer", "format": "int32" }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" + "logprobsResult": { + "$ref": "#/components/schemas/LogprobsResult", + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "readOnly": true }, - "startIndex": { - "format": "int32", - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", - "type": "integer" + "index": { + "description": "Output only. Index of the candidate in the list of response candidates.", + "type": "integer", + "readOnly": true, + "format": "int32" + }, + "content": { + "readOnly": true, + "description": "Output only. Generated content returned from the model.", + "$ref": "#/components/schemas/Content" + }, + "groundingMetadata": { + "$ref": "#/components/schemas/GroundingMetadata", + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "readOnly": true } }, - "description": "A citation to a source for a portion of a specific response.", + "description": "A response candidate generated from the model.", "type": "object" }, - "GroundingChunkCustomMetadata": { - "description": "User provided metadata about the GroundingFact.", + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", "type": "object", "properties": { - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" - }, - "stringValue": { - "description": "Optional. The string value of the metadata.", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "numericValue": { - "format": "float", - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", - "type": "number" - }, - "key": { - "description": "The key of the metadata.", - "type": "string" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" } } }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "type": "object", "properties": { - "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - } + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", + "type": "string" + }, + "data": { + "format": "byte", + "description": "Raw bytes for media formats.", + "type": "string" } } }, - "InlinedEmbedContentResponse": { - "description": "The response to a single request in the batch.", + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "type": "object", "properties": { - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse" + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" }, - "metadata": { - "description": "Output only. The metadata associated with the request.", - "type": "object", - "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - } + "functionCallingConfig": { + "$ref": "#/components/schemas/FunctionCallingConfig", + "description": "Optional. Function calling config." }, - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request." + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" } } }, - "SemanticRetrieverChunk": { + "GroundingChunkStringList": { "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" + "values": { + "description": "The string values of the list.", + "type": "array", + "items": { + "type": "string" + } } }, - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "description": "A list of string values.", "type": "object" }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", "type": "object", "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "type": "array", + "items": { + "type": "string" + } } } }, - "Part": { + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "type": "object", "properties": { - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" - }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" - }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" - }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" - }, - "text": { - "description": "Inline text.", + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", "type": "string" }, - "toolCall": { - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", - "$ref": "#/components/schemas/ToolCall" - }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "headers": { + "additionalProperties": { + "type": "string" + }, + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object" }, - "thoughtSignature": { - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "sseReadTimeout": { + "description": "Timeout for SSE read operations.", "type": "string", - "format": "byte" + "format": "google-duration" }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" + "timeout": { + "format": "google-duration", + "description": "HTTP timeout for regular operations.", + "type": "string" }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", "type": "boolean" - }, - "partMetadata": { - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" - }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" - }, - "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.", - "$ref": "#/components/schemas/FunctionResponse" } - }, - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", - "type": "object" + } }, - "FileSearch": { - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", + "ListFileSearchStoresResponse": { + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "type": "object", "properties": { - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" }, - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", - "type": "array", + "fileSearchStores": { "items": { - "type": "string" - } - }, - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer", - "format": "int32" + "$ref": "#/components/schemas/FileSearchStore" + }, + "description": "The returned rag_stores.", + "type": "array" } } }, - "ImageConfig": { - "description": "Config for image generation features.", + "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": {} + }, + "GoogleMaps": { "properties": { - "imageSize": { - "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", - "type": "string" - }, - "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" + "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" } - } + }, + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "type": "object" }, - "GroundingAttribution": { + "PrebuiltVoiceConfig": { "properties": { - "sourceId": { - "readOnly": true, - "$ref": "#/components/schemas/AttributionSourceId", - "description": "Output only. Identifier for the source contributing to this attribution." - }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" } }, - "description": "Attribution for a source that contributed to an answer.", + "description": "The configuration for the prebuilt speaker to use.", "type": "object" }, - "TransferOwnershipResponse": { - "description": "Response from `TransferOwnership`.", - "type": "object", - "properties": {} - }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", "type": "object", "properties": { - "values": { - "description": "The string values of the list.", + "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" } + }, + "nextPageToken": { + "description": "The standard List next-page token.", + "type": "string" + }, + "operations": { + "items": { + "$ref": "#/components/schemas/Operation" + }, + "description": "A list of operations that matches the specified filter in the request.", + "type": "array" } } }, - "InputConfig": { + "GoogleAiGenerativelanguageV1betaSegment": { + "description": "Segment of the content.", + "type": "object", "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", + "text": { + "description": "The text corresponding to the segment from the response.", "type": "string" }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" + "partIndex": { + "format": "int32", + "description": "The index of a Part object within its parent Content object.", + "type": "integer" + }, + "startIndex": { + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "type": "integer", + "format": "int32" + }, + "endIndex": { + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", + "type": "integer", + "format": "int32" + } + } + }, + "ListCachedContentsResponse": { + "properties": { + "cachedContents": { + "items": { + "$ref": "#/components/schemas/CachedContent" + }, + "description": "List of cached contents.", + "type": "array" + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "type": "string" } }, - "description": "Configures the input to the batch request.", + "description": "Response with CachedContents list.", "type": "object" }, - "File": { + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", + "type": "object", "properties": { - "videoMetadata": { - "description": "Output only. Metadata for a video.", - "readOnly": true, - "$ref": "#/components/schemas/VideoFileMetadata" - }, - "createTime": { + "examples": { + "items": { + "$ref": "#/components/schemas/TuningExample" + }, + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", + "type": "array" + } + } + }, + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", + "type": "object", + "properties": { + "response": { "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was created.", - "type": "string" + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/EmbedContentResponse" }, - "sizeBytes": { - "description": "Output only. Size of the file in bytes.", - "type": "string", + "error": { "readOnly": true, - "format": "int64" + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status" }, - "name": { - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Output only. The metadata associated with the request.", + "type": "object", + "readOnly": true + } + } + }, + "ToolResponse": { + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", + "type": "object", + "properties": { + "id": { + "description": "Optional. The identifier of the tool call this response is for.", "type": "string" }, - "updateTime": { - "description": "Output only. The timestamp of when the `File` was last updated.", - "type": "string", - "format": "google-datetime", - "readOnly": true + "response": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool response.", + "type": "object" }, - "source": { - "description": "Source of the File.", + "toolType": { + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", "type": "string", - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" ] + } + } + }, + "LogprobsResult": { + "description": "Logprobs Result", + "type": "object", + "properties": { + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "type": "number", + "format": "float" }, - "downloadUri": { - "description": "Output only. The download uri of the `File`.", - "type": "string", - "readOnly": true + "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" + } }, - "state": { - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ], - "type": "string", - "readOnly": true, - "description": "Output only. Processing state of the File.", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ] - }, - "error": { - "description": "Output only. Error status if File processing failed.", - "readOnly": true, - "$ref": "#/components/schemas/Status" - }, - "uri": { - "readOnly": true, - "description": "Output only. The uri of the `File`.", - "type": "string" - }, - "sha256Hash": { - "readOnly": true, - "format": "byte", - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "type": "string" - }, - "mimeType": { - "description": "Output only. MIME type of the file.", - "type": "string", - "readOnly": true - }, - "displayName": { - "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", - "type": "string" - }, - "expirationTime": { - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "type": "string", - "format": "google-datetime", - "readOnly": true + "topCandidates": { + "items": { + "$ref": "#/components/schemas/TopCandidates" + }, + "description": "Length = total number of decoding steps.", + "type": "array" } - }, - "description": "A file uploaded to the API. Next ID: 15", - "type": "object" + } }, - "Dataset": { + "LatLng": { + "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", + "type": "object", "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "type": "number", + "format": "double" + }, + "longitude": { + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number", + "format": "double" } - }, - "description": "Dataset for training or validation.", - "type": "object" + } }, - "LogprobsResultCandidate": { + "ModalityTokenCount": { "properties": { - "tokenId": { - "description": "The candidate\u2019s token id value.", + "modality": { + "description": "The modality associated with this token count.", + "type": "string", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ], + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ] + }, + "tokenCount": { + "description": "Number of tokens.", "type": "integer", "format": "int32" - }, - "token": { - "description": "The candidate\u2019s token string value.", - "type": "string" - }, - "logProbability": { - "format": "float", - "description": "The candidate's log probability.", - "type": "number" } }, - "description": "Candidate for the logprobs token and score.", + "description": "Represents token counting info for a single modality.", "type": "object" }, - "ChunkingConfig": { - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", - "type": "object", - "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" - } - } - }, - "ListGeneratedFilesResponse": { + "Web": { "properties": { - "generatedFiles": { - "description": "The list of `GeneratedFile`s.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GeneratedFile" - } + "uri": { + "description": "Output only. URI reference of the chunk.", + "type": "string", + "readOnly": true }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "title": { + "readOnly": true, + "description": "Output only. Title of the chunk.", "type": "string" } }, - "description": "Response for `ListGeneratedFiles`.", + "description": "Chunk from the web.", "type": "object" }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", - "type": "object", + "GenerateContentRequest": { "properties": { - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "type": "string", - "format": "google-datetime", - "readOnly": true + "serviceTier": { + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ], + "description": "Optional. The service tier of the request.", + "type": "string" }, - "name": { - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", - "type": "string", - "readOnly": true + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "type": "array" }, - "updateTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" + }, + "toolConfig": { + "$ref": "#/components/schemas/ToolConfig", + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example." + }, + "safetySettings": { + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetySetting" + } + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "displayName": { - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "systemInstruction": { + "$ref": "#/components/schemas/Content", + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only." + }, + "tools": { + "items": { + "$ref": "#/components/schemas/Tool" + }, + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", + "type": "array" + }, + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", "type": "string" - } - } - }, - "GoogleSearch": { - "properties": { - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" } }, - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "description": "Request to generate a completion from the model.", "type": "object" }, - "SearchTypes": { - "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" - }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" - } - }, - "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "CodeExecution": { + "properties": {}, + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", "type": "object" }, - "GroundingChunk": { - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "PlaceAnswerSources": { + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "type": "object", "properties": { - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" - }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" - }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" - }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "reviewSnippets": { + "items": { + "$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" } } }, - "CountTokensResponse": { - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", "type": "object", "properties": { - "cachedContentTokenCount": { + "promptTokenCount": { "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content).", + "readOnly": true, + "description": "Output only. Number of tokens in the prompt.", "type": "integer" }, - "totalTokens": { - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "type": "integer", - "format": "int32" - }, - "promptTokensDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "cacheTokensDetails": { - "description": "Output only. List of modalities that were processed in the cached content.", - "type": "array", + "promptTokenDetails": { "items": { "$ref": "#/components/schemas/ModalityTokenCount" }, - "readOnly": true - } - } - }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", - "type": "object", - "properties": { - "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 - }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "type": "string" - }, - "pendingDocumentsCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "type": "string" - }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", - "type": "string", "readOnly": true, - "format": "int64" - }, - "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": { - "readOnly": true, - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", - "type": "string" - }, - "createTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "type": "string", - "format": "google-datetime", - "readOnly": true - }, - "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array" } } }, - "Candidate": { - "description": "A response candidate generated from the model.", + "TuningSnapshot": { + "description": "Record for a single tuning step.", "type": "object", "properties": { - "content": { - "description": "Output only. Generated content returned from the model.", - "readOnly": true, - "$ref": "#/components/schemas/Content" - }, - "groundingMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/GroundingMetadata", - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls." - }, - "groundingAttributions": { - "readOnly": true, - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - } - }, - "logprobsResult": { - "readOnly": true, - "$ref": "#/components/schemas/LogprobsResult", - "description": "Output only. Log-likelihood scores for the response tokens and top tokens" - }, - "index": { + "step": { "format": "int32", "readOnly": true, - "description": "Output only. Index of the candidate in the list of response candidates.", + "description": "Output only. The tuning step.", "type": "integer" }, - "finishReason": { - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response." - ], - "type": "string", - "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" - ], + "meanLoss": { + "format": "float", + "description": "Output only. The mean loss of the training examples for this step.", + "type": "number", "readOnly": true }, - "avgLogprobs": { - "format": "double", + "epoch": { "readOnly": true, - "description": "Output only. Average log probability score of the candidate.", - "type": "number" - }, - "tokenCount": { - "description": "Output only. Token count for this candidate.", + "description": "Output only. The epoch this step was part of.", "type": "integer", - "readOnly": true, "format": "int32" }, - "citationMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/CitationMetadata", - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." - }, - "finishMessage": { - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "computeTime": { + "format": "google-datetime", + "description": "Output only. The timestamp when this metric was computed.", "type": "string", "readOnly": true - }, - "safetyRatings": { - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } - }, - "urlContextMetadata": { - "description": "Output only. Metadata related to url context retrieval tool.", - "readOnly": true, - "$ref": "#/components/schemas/UrlContextMetadata" } } }, - "Image": { + "SearchEntryPoint": { "properties": { - "imageUri": { - "description": "The image asset URL.", - "type": "string" - }, - "title": { - "description": "The title of the web page that the image is from.", - "type": "string" - }, - "sourceUri": { - "description": "The web page URI for attribution.", + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", "type": "string" }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "sdkBlob": { + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple.", "type": "string" } }, - "description": "Chunk from image search.", + "description": "Google search entry point.", "type": "object" }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", - "type": "object", + "Model": { "properties": { - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "description": { + "description": "A short description of the model.", "type": "string" }, - "title": { - "description": "Optional. Title of the document.", + "inputTokenLimit": { + "description": "Maximum number of input tokens allowed for this model.", + "type": "integer", + "format": "int32" + }, + "temperature": { + "format": "float", + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", + "type": "number" + }, + "topK": { + "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", + "type": "integer", + "format": "int32" + }, + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", "type": "string" }, - "text": { - "description": "Optional. Text of the chunk.", + "outputTokenLimit": { + "format": "int32", + "description": "Maximum number of output tokens available for this model.", + "type": "integer" + }, + "maxTemperature": { + "format": "float", + "description": "The maximum temperature this model can use.", + "type": "number" + }, + "name": { + "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`", "type": "string" }, - "customMetadata": { - "description": "Optional. User-provided metadata about the retrieved context.", - "type": "array", + "displayName": { + "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", + "type": "string" + }, + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" + }, + "topP": { + "format": "float", + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", + "type": "number" + }, + "supportedGenerationMethods": { "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - } + "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" }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", "type": "string" } - } - }, - "GeneratedFile": { + }, + "description": "Information about a Generative Language Model.", + "type": "object" + }, + "SearchTypes": { "properties": { - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", - "type": "string" + "webSearch": { + "$ref": "#/components/schemas/WebSearch", + "description": "Optional. Enables web search. Only text results are returned." }, - "state": { - "description": "Output only. The state of the GeneratedFile.", + "imageSearch": { + "$ref": "#/components/schemas/ImageSearch", + "description": "Optional. Enables image search. Image bytes are returned." + } + }, + "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "type": "object" + }, + "UrlMetadata": { + "properties": { + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", + "type": "string", "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." + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." ], "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], - "type": "string", - "readOnly": true + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ] }, + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" + } + }, + "description": "Context of the a single url retrieval.", + "type": "object" + }, + "CustomLongRunningOperation": { + "type": "object", + "properties": { "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "description": "The error result of the operation in case of failure or cancellation.", "$ref": "#/components/schemas/Status" }, - "mimeType": { - "description": "MIME type of the generatedFile.", + "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" + }, + "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" + }, + "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" + }, + "metadata": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object" + } + } + }, + "CitationSource": { + "properties": { + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" + }, + "license": { + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", "type": "string" + }, + "startIndex": { + "format": "int32", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "type": "integer" + }, + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer", + "format": "int32" } }, - "description": "A file generated on behalf of a user.", + "description": "A citation to a source for a portion of a specific response.", "type": "object" }, "EmbedContentBatchStats": { - "description": "Stats about the batch.", - "type": "object", "properties": { - "successfulRequestCount": { - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests that were successfully processed.", - "type": "string" - }, "requestCount": { "description": "Output only. The number of requests in the batch.", "type": "string", - "format": "int64", - "readOnly": true + "readOnly": true, + "format": "int64" }, "failedRequestCount": { + "format": "int64", + "readOnly": true, "description": "Output only. The number of requests that failed to be processed.", - "type": "string", + "type": "string" + }, + "successfulRequestCount": { "readOnly": true, + "description": "Output only. The number of requests that were successfully processed.", + "type": "string", "format": "int64" }, "pendingRequestCount": { @@ -3812,1385 +3732,1275 @@ "description": "Output only. The number of requests that are still pending processing.", "type": "string" } - } - }, - "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": {} + }, + "description": "Stats about the batch.", + "type": "object" }, - "Tool": { - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", "type": "object", "properties": { - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" - }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "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": { - "$ref": "#/components/schemas/FunctionDeclaration" - } - }, - "mcpServers": { - "description": "Optional. MCP Servers to connect to.", + "files": { + "description": "The registered files to be used when calling GenerateContent.", "type": "array", "items": { - "$ref": "#/components/schemas/McpServer" + "$ref": "#/components/schemas/File" } + } + } + }, + "GroundingChunk": { + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "type": "object", + "properties": { + "web": { + "$ref": "#/components/schemas/Web", + "description": "Grounding chunk from the web." }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" - }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" + "retrievedContext": { + "$ref": "#/components/schemas/RetrievedContext", + "description": "Optional. Grounding chunk from context retrieved by the file search tool." }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" + "image": { + "$ref": "#/components/schemas/Image", + "description": "Optional. Grounding chunk from image search." }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" + "maps": { + "$ref": "#/components/schemas/Maps", + "description": "Optional. Grounding chunk from Google Maps." } } }, - "LogprobsResult": { - "description": "Logprobs Result", + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", "type": "object", "properties": { - "topCandidates": { - "description": "Length = total number of decoding steps.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TopCandidates" - } + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "type": "string" }, - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "type": "number", - "format": "float" + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", + "type": "string" }, - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "title": { + "description": "Optional. Title of the document.", + "type": "string" + }, + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" + }, + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", "type": "array", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" } } } }, - "WhiteSpaceConfig": { - "description": "Configuration for a white space chunking algorithm [white space delimited].", + "TransferOwnershipResponse": { + "description": "Response from `TransferOwnership`.", "type": "object", - "properties": { - "maxOverlapTokens": { - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "type": "integer", - "format": "int32" - }, - "maxTokensPerChunk": { - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", - "type": "integer", - "format": "int32" - } - } + "properties": {} }, - "Content": { + "ImportFileRequest": { "properties": { - "parts": { - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "type": "string" + }, + "customMetadata": { + "description": "Custom metadata to be associated with the file.", "type": "array", "items": { - "$ref": "#/components/schemas/Part" + "$ref": "#/components/schemas/CustomMetadata" } }, - "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" + "chunkingConfig": { + "$ref": "#/components/schemas/ChunkingConfig", + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." } }, - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "type": "object" }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", "type": "object", "properties": { - "promptTokenCount": { - "readOnly": true, - "format": "int32", - "description": "Output only. Number of tokens in the prompt.", - "type": "integer" - }, - "promptTokenDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - } - } - }, - "BatchEmbedContentsResponse": { - "description": "The response to a `BatchEmbedContentsRequest`.", - "type": "object", - "properties": { - "embeddings": { - "readOnly": true, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "type": "array", + "requests": { "items": { - "$ref": "#/components/schemas/ContentEmbedding" - } - }, - "usageMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "description": "Output only. The usage metadata for the request." + "$ref": "#/components/schemas/EmbedContentRequest" + }, + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", + "type": "array" } } }, - "SearchEntryPoint": { + "TunedModel": { "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", - "type": "string" + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" }, - "sdkBlob": { - "format": "byte", - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "type": "string" - } - }, - "description": "Google search entry point.", - "type": "object" - }, - "Operation": { - "properties": { - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "topP": { + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", + "type": "number", + "format": "float" }, - "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." - } + "tuningTask": { + "$ref": "#/components/schemas/TuningTask", + "description": "Required. The tuning task that creates the tuned model." }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" }, - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" + "state": { + "description": "Output only. The state of the tuned model.", + "readOnly": true, + "type": "string", + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ], + "x-enum-descriptions": [ + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." + ] }, "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" - } - }, - "description": "This resource represents a long-running operation that is the result of a network API call.", - "type": "object" - }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", - "type": "object", - "properties": { - "endIndex": { - "format": "int32", - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "type": "integer" + "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 }, - "text": { - "description": "The text corresponding to the segment from the response.", + "displayName": { + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", "type": "string" }, - "partIndex": { + "topK": { "format": "int32", - "description": "The index of a Part object within its parent Content object.", + "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" }, - "startIndex": { - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "type": "integer", - "format": "int32" - } - } - }, - "TuningSnapshot": { - "properties": { - "step": { + "updateTime": { + "description": "Output only. The timestamp when this model was updated.", + "type": "string", "readOnly": true, - "format": "int32", - "description": "Output only. The tuning step.", - "type": "integer" + "format": "google-datetime" }, - "meanLoss": { + "readerProjectNumbers": { + "items": { + "type": "string", + "format": "int64" + }, + "description": "Optional. List of project numbers that have read access to the tuned model.", + "type": "array" + }, + "description": { + "description": "Optional. A short description of this model.", + "type": "string" + }, + "temperature": { "format": "float", - "readOnly": true, - "description": "Output only. The mean loss of the training examples for this step.", + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", "type": "number" }, - "computeTime": { - "description": "Output only. The timestamp when this metric was computed.", - "type": "string", + "createTime": { "format": "google-datetime", - "readOnly": true - }, - "epoch": { - "format": "int32", "readOnly": true, - "description": "Output only. The epoch this step was part of.", - "type": "integer" + "description": "Output only. The timestamp when this model was created.", + "type": "string" } }, - "description": "Record for a single tuning step.", + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "type": "object" }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", - "type": "object", - "properties": { - "totalTokenCount": { - "format": "int32", - "description": "Total number of tokens that the cached content consumes.", - "type": "integer" - } - } - }, - "ComputerUse": { - "description": "Computer Use tool type.", + "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": { - "environment": { + "threshold": { + "description": "Required. Controls the probability threshold at which harm is blocked.", + "type": "string", "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" ], - "description": "Required. The environment being operated.", - "type": "string", "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." + "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." ] }, - "excludedPredefinedFunctions": { - "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", - "type": "array", - "items": { - "type": "string" - } + "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." + ], + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "description": "Required. The category for this setting.", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ] } } }, - "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", + "PromptFeedback": { "properties": { - "candidates": { - "description": "Candidate responses from the model.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Candidate" - } - }, - "responseId": { - "readOnly": true, - "description": "Output only. response_id is used to identify each response.", + "blockReason": { + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ], + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", "type": "string" }, - "modelStatus": { - "readOnly": true, - "$ref": "#/components/schemas/ModelStatus", - "description": "Output only. The current model status of this model." - }, - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "readOnly": true, - "$ref": "#/components/schemas/UsageMetadata" - }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" - }, - "modelVersion": { - "description": "Output only. The model version used to generate the response.", - "type": "string", - "readOnly": true + "safetyRatings": { + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "type": "array" } - } + }, + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "type": "object" }, - "InlinedEmbedContentRequest": { - "description": "The request to be processed in the batch.", + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", "type": "object", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The metadata to be associated with the request.", - "type": "object" + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" } } }, - "PlaceAnswerSources": { - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", - "type": "object", + "Dataset": { "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": { - "$ref": "#/components/schemas/ReviewSnippet" - } + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } - } + }, + "description": "Dataset for training or validation.", + "type": "object" }, - "FileData": { - "description": "URI based data.", + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "ComputerUse": { + "description": "Computer Use tool type.", "type": "object", "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" + "environment": { + "description": "Required. The environment being operated.", + "type": "string", + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ], + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ] }, - "fileUri": { - "description": "Required. URI.", - "type": "string" + "excludedPredefinedFunctions": { + "items": { + "type": "string" + }, + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "type": "array" } } }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", - "type": "object", + "SemanticRetrieverChunk": { "properties": { - "embedding": { + "source": { "readOnly": true, - "$ref": "#/components/schemas/ContentEmbedding", - "description": "Output only. The embedding generated from the input content." + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "type": "string" }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", + "chunk": { "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "type": "string" } - } + }, + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "type": "object" }, - "Hyperparameters": { + "FunctionCall": { "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" - }, - "epochCount": { - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", - "type": "integer", - "format": "int32" + "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" }, - "learningRate": { - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "type": "number", - "format": "float" + "args": { + "description": "Optional. The function parameters and values in JSON object format.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "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" + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "type": "string" } }, - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "type": "object" }, - "DynamicRetrievalConfig": { + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "type": "object", "properties": { - "dynamicThreshold": { - "format": "float", - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number" - }, - "mode": { + "outcome": { "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." + "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": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" ], - "description": "The mode of the predictor to be used in dynamic retrieval.", + "description": "Required. Outcome of the code execution.", + "type": "string" + }, + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" + }, + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", "type": "string" } - }, - "description": "Describes the options to customize dynamic retrieval.", - "type": "object" - }, - "GoogleMaps": { - "properties": { - "enableWidget": { - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", - "type": "boolean" - } - }, - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", - "type": "object" + } }, - "Model": { + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", + "type": "object", "properties": { - "inputTokenLimit": { - "format": "int32", - "description": "Maximum number of input tokens allowed for this model.", - "type": "integer" - }, - "topP": { - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "type": "number", - "format": "float" - }, "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`", + "readOnly": true, + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", "type": "string" }, - "outputTokenLimit": { - "description": "Maximum number of output tokens available for this model.", - "type": "integer", - "format": "int32" - }, - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", - "type": "string" + "updateTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "type": "string", + "readOnly": true }, - "supportedGenerationMethods": { - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", - "type": "array", - "items": { - "type": "string" - } + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "type": "string", + "readOnly": true, + "format": "int64" }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", - "type": "string" - }, - "topK": { - "format": "int32", - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", - "type": "integer" + "createTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "type": "string", + "readOnly": true }, - "maxTemperature": { - "format": "float", - "description": "The maximum temperature this model can use.", - "type": "number" + "failedDocumentsCount": { + "readOnly": true, + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "type": "string", + "format": "int64" }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" + "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" }, - "temperature": { - "format": "float", - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", - "type": "number" + "pendingDocumentsCount": { + "format": "int64", + "readOnly": true, + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "type": "string" }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "sizeBytes": { + "format": "int64", + "readOnly": true, + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", "type": "string" + } + } + }, + "Content": { + "properties": { + "parts": { + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Part" + } }, - "description": { - "description": "A short description of the model.", + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", "type": "string" } }, - "description": "Information about a Generative Language Model.", + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", "type": "object" }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", "type": "object", "properties": { - "completeTime": { - "description": "Output only. The timestamp when tuning this model completed.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "snapshots": { - "description": "Output only. Metrics collected during tuning.", - "type": "array", + "dynamicRetrievalConfig": { + "$ref": "#/components/schemas/DynamicRetrievalConfig", + "description": "Specifies the dynamic retrieval configuration for the given source." + } + } + }, + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", + "type": "object", + "properties": { + "speakerVoiceConfigs": { "items": { - "$ref": "#/components/schemas/TuningSnapshot" + "$ref": "#/components/schemas/SpeakerVoiceConfig" }, - "readOnly": true - }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" - }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" - }, - "startTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp when tuning this model started.", - "type": "string" + "description": "Required. All the enabled speaker voices.", + "type": "array" } } }, - "ThinkingConfig": { + "LogprobsResultCandidate": { "properties": { - "thinkingBudget": { + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" + }, + "tokenId": { "format": "int32", - "description": "The number of thoughts tokens that the model should generate.", + "description": "The candidate\u2019s token id value.", "type": "integer" }, - "thinkingLevel": { - "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." - ], - "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.", - "type": "string", - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ] - }, - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" + "logProbability": { + "format": "float", + "description": "The candidate's log probability.", + "type": "number" } }, - "description": "Config for thinking features.", + "description": "Candidate for the logprobs token and score.", "type": "object" }, - "CachedContent": { - "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", + "Document": { + "description": "A `Document` is a collection of `Chunk`s.", "type": "object", "properties": { - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "type": "string", - "readOnly": true + "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": { + "$ref": "#/components/schemas/CustomMetadata" + } }, - "updateTime": { + "state": { + "description": "Output only. Current state of the `Document`.", "readOnly": true, - "format": "google-datetime", - "description": "Output only. When the cache entry was last updated in UTC time.", + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." + ], "type": "string" }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. Creation time of the cache entry.", + "name": { + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", "type": "string" }, - "usageMetadata": { - "description": "Output only. Metadata on the usage of the cached content.", + "updateTime": { + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "type": "string", "readOnly": true, - "$ref": "#/components/schemas/CachedContentUsageMetadata" + "format": "google-datetime" + }, + "mimeType": { + "description": "Output only. The mime type of the Document.", + "type": "string", + "readOnly": true }, "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", "type": "string" }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", - "type": "string" + "sizeBytes": { + "readOnly": true, + "description": "Output only. The size of raw bytes ingested into the Document.", + "type": "string", + "format": "int64" }, - "expireTime": { + "createTime": { "format": "google-datetime", - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "type": "string" - }, - "tools": { - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - } - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "ttl": { - "description": "Input only. New TTL for this resource, input only.", + "description": "Output only. The Timestamp of when the `Document` was created.", "type": "string", - "format": "google-duration" - }, - "contents": { - "description": "Optional. Input only. Immutable. The content to cache.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - } - }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" + "readOnly": true } } }, - "ModelStatus": { + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", + "type": "object", "properties": { - "retirementTime": { - "format": "google-datetime", - "description": "The time at which the model will be retired.", - "type": "string" - }, - "modelStage": { + "mode": { + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "type": "string", - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" + "x-enum-descriptions": [ + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." ], - "description": "The stage of the underlying model.", - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], - "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." + "enum": [ + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" ] }, - "message": { - "description": "A message explaining the model status.", - "type": "string" + "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" } - }, - "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" + } }, - "InlinedRequest": { + "Maps": { "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "title": { + "description": "Title of the place.", + "type": "string" }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The metadata to be associated with the request.", - "type": "object" + "text": { + "description": "Text description of the place answer.", + "type": "string" + }, + "placeId": { + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", + "type": "string" + }, + "uri": { + "description": "URI reference of the place.", + "type": "string" + }, + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" } }, - "description": "The request to be processed in the batch.", + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "type": "object" }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", "type": "object", "properties": { - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", - "type": "string" + "corpora": { + "items": { + "$ref": "#/components/schemas/Corpus" + }, + "description": "The returned corpora.", + "type": "array" }, - "baseModel": { - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", - "type": "string", - "readOnly": true + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "ListPermissionsResponse": { + "McpServer": { "properties": { - "permissions": { - "description": "Returned permissions.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Permission" - } + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "name": { + "description": "The name of the MCPServer.", "type": "string" } }, - "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 5", "type": "object" }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", - "type": "object", + "GroundingChunkCustomMetadata": { "properties": { - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" + }, + "stringValue": { + "description": "Optional. The string value of the metadata.", "type": "string" }, - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "key": { + "description": "The key of the metadata.", "type": "string" }, - "outcome": { - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], - "description": "Required. Outcome of the code execution.", - "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." - ] + "numericValue": { + "format": "float", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number" } - } + }, + "description": "User provided metadata about the GroundingFact.", + "type": "object" }, - "TunedModel": { + "InlinedResponse": { + "description": "The response to a single request in the batch.", + "type": "object", "properties": { - "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 + "response": { + "readOnly": true, + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse" }, - "updateTime": { + "error": { + "description": "Output only. The error encountered while processing the request.", "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when this model was updated.", + "$ref": "#/components/schemas/Status" + }, + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Output only. The metadata associated with the request.", + "type": "object", + "readOnly": true + } + } + }, + "ReviewSnippet": { + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "type": "object", + "properties": { + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", "type": "string" }, - "topP": { - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", - "type": "number", - "format": "float" + "title": { + "description": "Title of the review.", + "type": "string" }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when this model was created.", + "reviewId": { + "description": "The ID of the review snippet.", "type": "string" + } + } + }, + "Interval": { + "properties": { + "endTime": { + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", + "type": "string", + "format": "google-datetime" }, - "readerProjectNumbers": { - "description": "Optional. List of project numbers that have read access to the tuned model.", + "startTime": { + "format": "google-datetime", + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "type": "string" + } + }, + "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" + }, + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "type": "object", + "properties": { + "documents": { + "description": "The returned `Document`s.", "type": "array", "items": { - "format": "int64", - "type": "string" + "$ref": "#/components/schemas/Document" } }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" - }, - "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" + "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" + } + } + }, + "TunedModelSource": { + "properties": { + "tunedModel": { + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "type": "string" }, "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "readOnly": true, + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", "type": "string" - }, - "displayName": { - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + } + }, + "description": "Tuned model as a source for training a new model.", + "type": "object" + }, + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", + "type": "object", + "properties": { + "name": { + "readOnly": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "type": "string" }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "description": { - "description": "Optional. A short description of this model.", - "type": "string" - }, - "temperature": { - "format": "float", - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "number" + "batchStats": { + "description": "Output only. Stats about the batch.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchStats" }, "state": { + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" ], "type": "string", "readOnly": true, - "description": "Output only. The state of the tuned model.", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ] - } - }, - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", - "type": "object" - }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", - "type": "object", - "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", + "description": "Output only. The state of the batch." + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, "createTime": { - "description": "Output only. The Timestamp of when the `Document` was created.", - "type": "string", "readOnly": true, + "description": "Output only. The time at which the batch was created.", + "type": "string", "format": "google-datetime" }, - "mimeType": { - "readOnly": true, - "description": "Output only. The mime type of the Document.", + "priority": { + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "type": "string", + "format": "int64" + }, + "displayName": { + "description": "Required. The user-defined name of this batch.", "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": { - "$ref": "#/components/schemas/CustomMetadata" - } + "output": { + "readOnly": true, + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/EmbedContentBatchOutput" }, - "state": { - "description": "Output only. Current state of the `Document`.", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ], + "endTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed.", "type": "string", - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ], "readOnly": true }, - "sizeBytes": { - "readOnly": true, - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the Document.", - "type": "string" - }, - "name": { - "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", - "type": "string" - }, "updateTime": { "format": "google-datetime", "readOnly": true, - "description": "Output only. The Timestamp of when the `Document` was last updated.", + "description": "Output only. The time at which the batch was last updated.", "type": "string" + }, + "inputConfig": { + "$ref": "#/components/schemas/InputEmbedContentConfig", + "description": "Required. Input configuration of the instances on which batch processing are performed." } } }, - "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", + "CachedContentUsageMetadata": { "properties": { - "threshold": { - "description": "Required. Controls the probability threshold at which harm is blocked.", - "type": "string", - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ], - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ] - }, - "category": { - "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." - ], - "description": "Required. The category for this setting.", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ] + "totalTokenCount": { + "description": "Total number of tokens that the cached content consumes.", + "type": "integer", + "format": "int32" } - } + }, + "description": "Metadata on the usage of the cached content.", + "type": "object" }, - "ReviewSnippet": { + "GeneratedFile": { "properties": { - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", "type": "string" }, - "reviewId": { - "description": "The ID of the review snippet.", - "type": "string" + "error": { + "$ref": "#/components/schemas/Status", + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state." }, - "title": { - "description": "Title of the review.", + "mimeType": { + "description": "MIME type of the generatedFile.", "type": "string" - } - }, - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", - "type": "object" - }, - "VideoMetadata": { - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", - "deprecated": true, - "properties": { - "startOffset": { - "description": "Optional. The start offset of the video.", - "type": "string", - "format": "google-duration" }, - "endOffset": { - "description": "Optional. The end offset of the video.", + "state": { + "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", - "format": "google-duration" - }, - "fps": { - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "type": "number", - "format": "double" + "description": "Output only. The state of the GeneratedFile.", + "readOnly": true } }, + "description": "A file generated on behalf of a user.", "type": "object" }, - "InlinedResponses": { + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", + "type": "object", "properties": { "inlinedResponses": { - "readOnly": true, "description": "Output only. The responses to the requests in the batch.", "type": "array", + "readOnly": true, "items": { - "$ref": "#/components/schemas/InlinedResponse" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" } } - }, - "description": "The responses to the requests in the batch.", - "type": "object" - }, - "AsyncBatchEmbedContentRequest": { - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" - } - }, - "description": "Request for an `AsyncBatchEmbedContent` operation.", - "type": "object" + } }, - "McpServer": { + "DynamicRetrievalConfig": { "properties": { - "name": { - "description": "The name of the MCPServer.", - "type": "string" + "dynamicThreshold": { + "format": "float", + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number" }, - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "mode": { + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ], + "x-enum-descriptions": [ + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], + "description": "The mode of the predictor to be used in dynamic retrieval.", + "type": "string" } }, - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 5", + "description": "Describes the options to customize dynamic retrieval.", "type": "object" }, - "Blob": { - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", - "type": "object", + "GoogleSearch": { "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" + "searchTypes": { + "$ref": "#/components/schemas/SearchTypes", + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." }, - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" - } - } - }, - "RegisterFilesResponse": { - "properties": { - "files": { - "description": "The registered files to be used when calling GenerateContent.", - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - } + "timeRangeFilter": { + "$ref": "#/components/schemas/Interval", + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." } }, - "description": "Response for `RegisterFiles`.", + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "type": "object" }, - "Web": { - "description": "Chunk from the web.", + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", "type": "object", "properties": { - "title": { - "description": "Output only. Title of the chunk.", - "type": "string", - "readOnly": true - }, - "uri": { - "readOnly": true, - "description": "Output only. URI reference of the chunk.", - "type": "string" + "urlMetadata": { + "items": { + "$ref": "#/components/schemas/UrlMetadata" + }, + "description": "List of url context.", + "type": "array" } } }, - "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", + "InputConfig": { + "description": "Configures the input to the batch request.", "type": "object", "properties": { - "name": { - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "type": "string", - "readOnly": true - }, - "role": { - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ], - "description": "Required. The role granted by this permission.", - "type": "string", - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ] - }, - "granteeType": { - "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": "Optional. Immutable. The type of the grantee.", - "type": "string", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ] + "requests": { + "$ref": "#/components/schemas/InlinedRequests", + "description": "The requests to be processed in the batch." }, - "emailAddress": { - "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" } } }, - "TuningExamples": { - "description": "A set of tuning examples. Can be training or validation data.", - "type": "object", + "ListTunedModelsResponse": { "properties": { - "examples": { - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", - "type": "array", + "tunedModels": { "items": { - "$ref": "#/components/schemas/TuningExample" - } - } - } - }, - "SpeechConfig": { - "properties": { - "languageCode": { - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", - "type": "string" - }, - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" + "$ref": "#/components/schemas/TunedModel" + }, + "description": "The returned Models.", + "type": "array" }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } }, - "description": "Config for speech generation and transcription.", + "description": "Response from `ListTunedModels` containing a paginated list of Models.", "type": "object" }, - "ToolCall": { - "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", - "type": "object", + "Part": { "properties": { - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", - "type": "string" + "inlineData": { + "$ref": "#/components/schemas/Blob", + "description": "Inline media bytes." }, - "toolType": { - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ], - "description": "Required. The type of tool that was called.", + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", "type": "string", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ] + "format": "byte" }, - "args": { - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "partMetadata": { + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", "type": "object", "additionalProperties": { "description": "Properties of the object." } + }, + "executableCode": { + "$ref": "#/components/schemas/ExecutableCode", + "description": "Code generated by the model that is meant to be executed." + }, + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" + }, + "fileData": { + "$ref": "#/components/schemas/FileData", + "description": "URI based data." + }, + "toolCall": { + "$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." + }, + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" + }, + "toolResponse": { + "$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`." + }, + "text": { + "description": "Inline text.", + "type": "string" + }, + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" + }, + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" } - } + }, + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "type": "object" }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "RetrievalConfig": { + "description": "Retrieval config.", "type": "object", "properties": { - "responsesFile": { - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "type": "string" + "latLng": { + "$ref": "#/components/schemas/LatLng", + "description": "Optional. The location of the user." }, - "inlinedResponses": { - "readOnly": true, - "$ref": "#/components/schemas/InlinedResponses", - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." + "languageCode": { + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "type": "string" } } }, - "InlinedEmbedContentRequests": { + "ContentEmbedding": { "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", + "values": { + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "type": "array", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" + "type": "number", + "format": "float" + } + }, + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "type": "array", + "items": { + "type": "integer", + "format": "int32" } } }, - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "description": "A list of floats representing an embedding.", "type": "object" }, - "CustomMetadata": { - "description": "User provided metadata stored as key-value pairs.", - "type": "object", + "StringList": { "properties": { - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" - }, - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" + "values": { + "items": { + "type": "string" + }, + "description": "The string values of the metadata to store.", + "type": "array" + } + }, + "description": "User provided string values assigned to a single metadata key.", + "type": "object" + }, + "BatchStats": { + "description": "Stats about the batch.", + "type": "object", + "properties": { + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "type": "string", + "readOnly": true, + "format": "int64" }, - "numericValue": { - "description": "The numeric value of the metadata to store.", - "type": "number", - "format": "float" + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "type": "string", + "readOnly": true, + "format": "int64" }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "successfulRequestCount": { + "readOnly": true, + "description": "Output only. The number of requests that were successfully processed.", + "type": "string", + "format": "int64" + }, + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "type": "string", + "readOnly": true, + "format": "int64" } } }, - "FunctionResponseBlob": { + "ListModelsResponse": { "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", - "type": "string" + "models": { + "items": { + "$ref": "#/components/schemas/Model" + }, + "description": "The returned Models.", + "type": "array" }, - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" + "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": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "description": "Response from `ListModel` containing a paginated list of Models.", "type": "object" }, - "ToolResponse": { - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "type": "object", "properties": { - "id": { - "description": "Optional. The identifier of the tool call this response is for.", + "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" }, - "response": { - "description": "Optional. The tool response.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "toolType": { - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", - "type": "string", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ] + "data": { + "format": "byte", + "description": "Raw bytes for media formats.", + "type": "string" } } }, - "GoogleSearchRetrieval": { - "description": "Tool to retrieve public web data for grounding, powered by Google.", - "type": "object", + "UploadToFileSearchStoreRequest": { "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "customMetadata": { + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Custom metadata to be associated with the data.", + "type": "array" + }, + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "type": "string" } - } + }, + "description": "Request for `UploadToFileSearchStore`.", + "type": "object" }, - "CreateFileRequest": { - "description": "Request for `CreateFile`.", + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", "type": "object", "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" + "maxTokensPerChunk": { + "format": "int32", + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "type": "integer" + }, + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer", + "format": "int32" } } }, - "GroundingPassageId": { + "SpeechConfig": { "properties": { - "passageId": { - "readOnly": true, - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "multiSpeakerVoiceConfig": { + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig", + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field." + }, + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", "type": "string" }, - "partIndex": { - "readOnly": true, - "format": "int32", - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "type": "integer" + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" } }, - "description": "Identifier for a part within a `GroundingPassage`.", + "description": "Config for speech generation and transcription.", "type": "object" }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", "type": "object", "properties": { - "urlMetadata": { - "description": "List of url context.", - "type": "array", - "items": { - "$ref": "#/components/schemas/UrlMetadata" + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "type": "string" + }, + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, + "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." + } + }, + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." } } } @@ -5206,399 +5016,228 @@ } } }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "type": "object", "properties": { - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "createTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "type": "string", + "readOnly": true }, - "customMetadata": { - "description": "Custom metadata to be associated with the data.", - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - } + "name": { + "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", + "type": "string", + "readOnly": true }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "displayName": { + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", "type": "string" + }, + "updateTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "type": "string", + "readOnly": true } } }, - "GroundingMetadata": { - "description": "Metadata returned to client when grounding is enabled.", - "type": "object", + "Permission": { "properties": { - "webSearchQueries": { - "description": "Web search queries for the following-up web search.", - "type": "array", - "items": { - "type": "string" - } - }, - "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.", + "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" }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" - }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" - }, - "groundingSupports": { - "description": "List of grounding support.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - } - }, - "groundingChunks": { - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingChunk" - } - }, - "imageSearchQueries": { - "description": "Image search queries used for grounding.", - "type": "array", - "items": { - "type": "string" - } - } - } - }, - "UrlContext": { - "properties": {}, - "description": "Tool to support URL context retrieval.", - "type": "object" - }, - "RetrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "type": "object", - "properties": { - "googleSearchDynamicRetrievalScore": { - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "type": "number", - "format": "float" - } - } - }, - "ExecutableCode": { - "properties": { - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "granteeType": { + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Represents a user. When set, you must provide email_address for the user.", + "Represents a group. When set, you must provide email_address for the group.", + "Represents access to everyone. No extra information is required." + ], + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ], + "description": "Optional. Immutable. The type of the grantee.", "type": "string" }, - "code": { - "description": "Required. The code to be executed.", + "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" }, - "language": { - "description": "Required. Programming language of the `code`.", + "role": { + "description": "Required. The role granted by this permission.", "type": "string", "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" ], "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." + "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." ] } }, - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", - "type": "object" - }, - "WebSearch": { - "properties": {}, - "description": "Standard web search for grounding and related configurations.", + "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" }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", - "type": "object", + "GenerateContentResponse": { "properties": { - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" + "modelStatus": { + "$ref": "#/components/schemas/ModelStatus", + "readOnly": true, + "description": "Output only. The current model status of this model." }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" + "candidates": { + "items": { + "$ref": "#/components/schemas/Candidate" + }, + "description": "Candidate responses from the model.", + "type": "array" }, - "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" + "usageMetadata": { + "$ref": "#/components/schemas/UsageMetadata", + "description": "Output only. Metadata on the generation requests' token usage.", + "readOnly": true + }, + "promptFeedback": { + "$ref": "#/components/schemas/PromptFeedback", + "description": "Returns the prompt's feedback related to the content filters." + }, + "modelVersion": { + "readOnly": true, + "description": "Output only. The model version used to generate the response.", + "type": "string" + }, + "responseId": { + "description": "Output only. response_id is used to identify each response.", + "type": "string", + "readOnly": true } - } + }, + "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" }, "CountTokensRequest": { - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", - "type": "object", "properties": { + "generateContentRequest": { + "$ref": "#/components/schemas/GenerateContentRequest", + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both." + }, "contents": { - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", - "type": "array", "items": { "$ref": "#/components/schemas/Content" - } - }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" + }, + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "type": "array" } - } + }, + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", + "type": "object" }, - "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", + "VideoMetadata": { + "deprecated": true, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", "properties": { - "response": { - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "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" - }, - "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" + "startOffset": { + "description": "Optional. The start offset of the video.", + "type": "string", + "format": "google-duration" }, - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "endOffset": { + "format": "google-duration", + "description": "Optional. The end offset of the video.", "type": "string" }, - "parts": { - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "fps": { + "format": "double", + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "type": "number" + } + }, + "type": "object" + }, + "InlinedRequests": { + "properties": { + "requests": { + "description": "Required. The requests to be processed in the batch.", "type": "array", "items": { - "$ref": "#/components/schemas/FunctionResponsePart" + "$ref": "#/components/schemas/InlinedRequest" } - }, - "scheduling": { - "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." - ], - "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ], - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", - "type": "string" + } + }, + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object" + }, + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "type": "object", + "properties": { + "googleSearchDynamicRetrievalScore": { + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", + "type": "number", + "format": "float" } } }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", + "CreateFileRequest": { + "description": "Request for `CreateFile`.", "type": "object", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" } } }, - "BatchStats": { - "description": "Stats about the batch.", + "InlinedRequest": { + "description": "The request to be processed in the batch.", "type": "object", "properties": { - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "type": "string", - "format": "int64", - "readOnly": true - }, - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "type": "string", - "format": "int64", - "readOnly": true - }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "type": "string", - "readOnly": true, - "format": "int64" + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request.", + "type": "object" }, - "successfulRequestCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests that were successfully processed.", - "type": "string" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" } } }, - "ListModelsResponse": { + "GenerateContentBatchOutput": { "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - }, - "models": { - "description": "The returned Models.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Model" - } - } - }, - "description": "Response from `ListModel` containing a paginated list of Models.", - "type": "object" - }, - "CodeExecution": { - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "type": "object", - "properties": {} - }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", - "type": "object", - "properties": { - "requests": { - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "type": "array", - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - } - }, - "ImageSearch": { - "properties": {}, - "description": "Image search for grounding and related configurations.", - "type": "object" - }, - "EmbedContentBatch": { - "properties": { - "state": { - "description": "Output only. The state of the batch.", - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "type": "string", - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "readOnly": true - }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" - }, - "batchStats": { - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchStats", - "description": "Output only. Stats about the batch." - }, - "output": { - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "description": "Output only. The output of the batch request." - }, - "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" - }, - "createTime": { - "description": "Output only. The time at which the batch was created.", - "type": "string", - "format": "google-datetime", - "readOnly": true - }, - "endTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The time at which the batch processing completed.", - "type": "string" - }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - }, - "name": { + "responsesFile": { "readOnly": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "type": "string" }, - "updateTime": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", "readOnly": true, - "format": "google-datetime", - "description": "Output only. The time at which the batch was last updated.", - "type": "string" + "$ref": "#/components/schemas/InlinedResponses" } }, - "description": "A resource representing a batch of `EmbedContent` requests.", + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "type": "object" }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", - "type": "object", - "properties": { - "candidates": { - "description": "Sorted by log probability in descending order.", - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } - } - } - }, "SafetyRating": { "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", "type": "object", "properties": { "category": { - "description": "Required. The category for this rating.", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], "x-enum-descriptions": [ "Category is unspecified.", "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", @@ -5627,9 +5266,30 @@ "HARM_CATEGORY_DANGEROUS_CONTENT", "HARM_CATEGORY_CIVIC_INTEGRITY" ], - "type": "string" + "type": "string", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "description": "Required. The category for this rating." + }, + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" }, "probability": { + "description": "Required. The probability of harm for this content.", + "type": "string", "x-enum-descriptions": [ "Probability is unspecified.", "Content has a negligible chance of being unsafe.", @@ -5643,203 +5303,659 @@ "LOW", "MEDIUM", "HIGH" - ], - "description": "Required. The probability of harm for this content.", - "type": "string" - }, - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" + ] } } }, - "InlinedResponse": { - "description": "The response to a single request in the batch.", + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", "type": "object", "properties": { - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request." - }, - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentResponse" - }, - "metadata": { - "description": "Output only. The metadata associated with the request.", - "type": "object", - "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - } + "citationSources": { + "items": { + "$ref": "#/components/schemas/CitationSource" + }, + "description": "Citations to sources for a specific response.", + "type": "array" } } }, - "FunctionResponsePart": { - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", - "type": "object", - "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" - } - } + "UrlContext": { + "properties": {}, + "description": "Tool to support URL context retrieval.", + "type": "object" }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "TuningExample": { "properties": { - "renderedParts": { - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", - "type": "array", - "items": { - "format": "int32", - "type": "integer" - }, - "readOnly": true - }, - "groundingChunkIndices": { - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", - "type": "array", - "items": { - "format": "int32", - "type": "integer" - } - }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "textInput": { + "description": "Optional. Text model input.", + "type": "string" }, - "confidenceScores": { - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", - "type": "array", - "items": { - "type": "number", - "format": "float" - } + "output": { + "description": "Required. The expected model output.", + "type": "string" } }, - "description": "Grounding support.", + "description": "A single example for tuning.", "type": "object" }, - "ListTunedModelsResponse": { + "Tool": { + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", + "type": "object", "properties": { - "tunedModels": { - "description": "The returned Models.", + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" + }, + "googleSearch": { + "$ref": "#/components/schemas/GoogleSearch", + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + }, + "urlContext": { + "$ref": "#/components/schemas/UrlContext", + "description": "Optional. Tool to support URL context retrieval." + }, + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" + }, + "mcpServers": { + "description": "Optional. MCP Servers to connect to.", "type": "array", "items": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/McpServer" } }, - "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" + "functionDeclarations": { + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + }, + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", + "type": "array" + }, + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" + }, + "computerUse": { + "$ref": "#/components/schemas/ComputerUse", + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations." + }, + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" } - }, - "description": "Response from `ListTunedModels` containing a paginated list of Models.", - "type": "object" + } }, - "VoiceConfig": { + "TuningTask": { + "description": "Tuning tasks that create tuned models.", + "type": "object", "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" + "startTime": { + "readOnly": true, + "description": "Output only. The timestamp when tuning this model started.", + "type": "string", + "format": "google-datetime" + }, + "completeTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The timestamp when tuning this model completed.", + "type": "string" + }, + "trainingData": { + "$ref": "#/components/schemas/Dataset", + "description": "Required. Input only. Immutable. The model training data." + }, + "snapshots": { + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + }, + "description": "Output only. Metrics collected during tuning.", + "type": "array", + "readOnly": true + }, + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" } - }, - "description": "The configuration for the voice to use.", - "type": "object" + } }, - "ListFilesResponse": { + "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", + "type": "object", "properties": { - "files": { - "description": "The list of `File`s.", + "googleMapsWidgetContextToken": { + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "type": "string" + }, + "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": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/GroundingChunk" } }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "groundingSupports": { + "description": "List of grounding support.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + } + }, + "webSearchQueries": { + "description": "Web search queries for the following-up web search.", + "type": "array", + "items": { + "type": "string" + } + }, + "searchEntryPoint": { + "$ref": "#/components/schemas/SearchEntryPoint", + "description": "Optional. Google search entry for the following-up web searches." + }, + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "type": "array", + "items": { + "type": "string" + } + } + } + }, + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", + "type": "object", + "properties": { + "groundingPassage": { + "$ref": "#/components/schemas/GroundingPassageId", + "description": "Identifier for an inline passage." + }, + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" + } + } + }, + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", + "type": "object", + "properties": { + "toolType": { + "description": "Required. The type of tool that was called.", + "type": "string", + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ] + }, + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "type": "string" + }, + "args": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "type": "object" + } + } + }, + "ImageConfig": { + "description": "Config for image generation features.", + "type": "object", + "properties": { + "aspectRatio": { + "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", + "type": "string" + }, + "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" } + } + }, + "TopCandidates": { + "properties": { + "candidates": { + "description": "Sorted by log probability in descending order.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } + } }, - "description": "Response for `ListFiles`.", + "description": "Candidates with top log probabilities at each decoding step.", "type": "object" }, - "ListCachedContentsResponse": { + "ModelStatus": { + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", + "type": "object", "properties": { - "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.", + "modelStage": { + "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." + ], + "enum": [ + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], + "description": "The stage of the underlying model.", + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false + ] + }, + "message": { + "description": "A message explaining the model status.", "type": "string" }, - "cachedContents": { - "description": "List of cached contents.", + "retirementTime": { + "format": "google-datetime", + "description": "The time at which the model will be retired.", + "type": "string" + } + } + }, + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "type": "object", + "properties": { + "responsesFile": { + "readOnly": true, + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "type": "string" + }, + "inlinedResponses": { + "readOnly": true, + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedEmbedContentResponses" + } + } + }, + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "type": "object", + "properties": { + "learningRate": { + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", + "type": "number", + "format": "float" + }, + "batchSize": { + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "type": "integer", + "format": "int32" + }, + "epochCount": { + "format": "int32", + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", + "type": "integer" + }, + "learningRateMultiplier": { + "format": "float", + "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", + "type": "number" + } + } + }, + "InlinedEmbedContentRequests": { + "properties": { + "requests": { + "description": "Required. The requests to be processed in the batch.", "type": "array", "items": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/InlinedEmbedContentRequest" } } }, - "description": "Response with CachedContents list.", + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "type": "object" }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", - "type": "object", + "UsageMetadata": { "properties": { - "values": { - "description": "The string values of the metadata to store.", + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", + "type": "integer", + "readOnly": true, + "format": "int32" + }, + "promptTokenCount": { + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", + "type": "integer", + "format": "int32" + }, + "candidatesTokenCount": { + "format": "int32", + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer" + }, + "cacheTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "description": "Output only. List of modalities of the cached content in the request input.", + "type": "array" + }, + "candidatesTokensDetails": { + "readOnly": true, + "description": "Output only. List of modalities that were returned in the response.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, + "toolUsePromptTokenCount": { + "format": "int32", + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "type": "integer", + "readOnly": true + }, + "promptTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", + "readOnly": true + }, + "totalTokenCount": { + "format": "int32", + "description": "Total token count for the generation request (prompt + response candidates).", + "type": "integer" + }, + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "type": "integer", + "format": "int32" + }, + "toolUsePromptTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "type": "array" + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" } } + }, + "description": "Metadata on the generation request's token usage.", + "type": "object" + }, + "VoiceConfig": { + "description": "The configuration for the voice to use.", + "type": "object", + "properties": { + "prebuiltVoiceConfig": { + "$ref": "#/components/schemas/PrebuiltVoiceConfig", + "description": "The configuration for the prebuilt voice to use." + } + } + }, + "GroundingPassageId": { + "properties": { + "passageId": { + "readOnly": true, + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "type": "string" + }, + "partIndex": { + "format": "int32", + "readOnly": true, + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "type": "integer" + } + }, + "description": "Identifier for a part within a `GroundingPassage`.", + "type": "object" + }, + "ExecutableCode": { + "properties": { + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "type": "string" + }, + "code": { + "description": "Required. The code to be executed.", + "type": "string" + }, + "language": { + "description": "Required. Programming language of the `code`.", + "type": "string", + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ] + } + }, + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", + "type": "object" + }, + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", + "type": "object", + "properties": { + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata" + }, + "embedding": { + "$ref": "#/components/schemas/ContentEmbedding", + "readOnly": true, + "description": "Output only. The embedding generated from the input content." + } + } + }, + "File": { + "description": "A file uploaded to the API. Next ID: 15", + "type": "object", + "properties": { + "mimeType": { + "readOnly": true, + "description": "Output only. MIME type of the file.", + "type": "string" + }, + "name": { + "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", + "type": "string" + }, + "state": { + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." + ], + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ], + "readOnly": true, + "description": "Output only. Processing state of the File." + }, + "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" + }, + "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", + "type": "string", + "readOnly": true, + "format": "google-datetime" + }, + "downloadUri": { + "description": "Output only. The download uri of the `File`.", + "type": "string", + "readOnly": true + }, + "source": { + "description": "Source of the File.", + "type": "string", + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "x-enum-descriptions": [ + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ] + }, + "expirationTime": { + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "type": "string", + "readOnly": true + }, + "sha256Hash": { + "format": "byte", + "readOnly": true, + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "type": "string" + }, + "error": { + "readOnly": true, + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status" + }, + "createTime": { + "readOnly": true, + "description": "Output only. The timestamp of when the `File` was created.", + "type": "string", + "format": "google-datetime" + }, + "uri": { + "readOnly": true, + "description": "Output only. The uri of the `File`.", + "type": "string" + }, + "sizeBytes": { + "format": "int64", + "readOnly": true, + "description": "Output only. Size of the file in bytes.", + "type": "string" + }, + "videoMetadata": { + "readOnly": true, + "description": "Output only. Metadata for a video.", + "$ref": "#/components/schemas/VideoFileMetadata" + } } }, - "ListOperationsResponse": { + "ThinkingConfig": { + "description": "Config for thinking features.", + "type": "object", "properties": { - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" + "thinkingBudget": { + "description": "The number of thoughts tokens that the model should generate.", + "type": "integer", + "format": "int32" }, - "unreachable": { - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", - "type": "array", - "items": { - "type": "string" - } + "thinkingLevel": { + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ], + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "type": "string" }, - "operations": { - "description": "A list of operations that matches the specified filter in the request.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Operation" - } + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" } - }, - "description": "The response message for Operations.ListOperations.", - "type": "object" + } }, "FunctionDeclaration": { "properties": { + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + }, "behavior": { + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "type": "string", "enum": [ "UNSPECIFIED", "BLOCKING", "NON_BLOCKING" ], - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", - "type": "string", "x-enum-descriptions": [ "This value is unused.", "If set, the system will wait to receive the function response before continuing the conversation.", "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." ] }, - "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.", - "$ref": "#/components/schemas/Schema" - }, "responseJsonSchema": { "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." }, @@ -5847,437 +5963,355 @@ "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", "type": "string" }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" - }, - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." - }, "description": { "description": "Required. A brief description of the function.", "type": "string" + }, + "parameters": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter." + }, + "response": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function." } }, "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "type": "object" }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", - "type": "object", + "AsyncBatchEmbedContentRequest": { "properties": { - "citationSources": { - "description": "Citations to sources for a specific response.", - "type": "array", - "items": { - "$ref": "#/components/schemas/CitationSource" - } + "batch": { + "$ref": "#/components/schemas/EmbedContentBatch", + "description": "Required. The batch to create." } - } + }, + "description": "Request for an `AsyncBatchEmbedContent` operation.", + "type": "object" }, - "Maps": { - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", - "type": "object", + "EmbedContentRequest": { "properties": { - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", - "type": "string" - }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" - }, - "uri": { - "description": "URI reference of the place.", - "type": "string" + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" }, "title": { - "description": "Title of the place.", - "type": "string" - }, - "text": { - "description": "Text description of the place answer.", - "type": "string" - } - } - }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", - "type": "object", - "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", + "description": "Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", "type": "string" - } - } - }, - "PromptFeedback": { - "properties": { - "safetyRatings": { - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } }, - "blockReason": { - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "taskType": { + "description": "Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", "type": "string", "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" ], "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." + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." ] - } - }, - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", - "type": "object" - }, - "TransferOwnershipRequest": { - "description": "Request to transfer the ownership of the tuned model.", - "type": "object", - "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" - } - } - }, - "ListFileSearchStoresResponse": { - "properties": { - "fileSearchStores": { - "description": "The returned rag_stores.", - "type": "array", - "items": { - "$ref": "#/components/schemas/FileSearchStore" - } }, - "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.", + "outputDimensionality": { + "description": "Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "type": "integer", + "format": "int32" + }, + "model": { + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "type": "string" } }, - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", + "description": "Request containing the `Content` for the model to embed.", "type": "object" }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", + "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": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", "type": "string" }, - "urlRetrievalStatus": { - "description": "Status of the url retrieval.", - "type": "string", - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ], - "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." - ] - } - } - }, - "Interval": { - "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", - "type": "object", - "properties": { - "endTime": { - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", - "type": "string", - "format": "google-datetime" - }, - "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" - } - } - }, - "InlinedRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "type": "object", - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", + "fileSearchStoreNames": { "items": { - "$ref": "#/components/schemas/InlinedRequest" - } + "type": "string" + }, + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "type": "array" + }, + "topK": { + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer", + "format": "int32" } } }, - "CustomLongRunningOperation": { + "FunctionResponse": { + "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "type": "object", "properties": { "response": { + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", + "type": "object", "additionalProperties": { - "description": "Properties of the object. 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" - }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object" - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "description": "Properties of the object." + } }, "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", "type": "string" }, - "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.", + "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" + }, + "scheduling": { + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", + "type": "string", + "enum": [ + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ], + "x-enum-descriptions": [ + "This value is unused.", + "Only add the result to the conversation context, do not interrupt or trigger generation.", + "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", + "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + ] + }, + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "type": "string" + }, + "parts": { + "items": { + "$ref": "#/components/schemas/FunctionResponsePart" + }, + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "type": "array" } } }, - "RegisterFilesRequest": { + "GoogleAiGenerativelanguageV1betaGroundingSupport": { "properties": { - "uris": { - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + }, + "confidenceScores": { + "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", "type": "array", "items": { - "type": "string" + "type": "number", + "format": "float" } - } - }, - "description": "Request for `RegisterFiles`.", - "type": "object" - }, - "ListCorporaResponse": { - "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" }, - "corpora": { - "description": "The returned corpora.", + "groundingChunkIndices": { + "items": { + "type": "integer", + "format": "int32" + }, + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "type": "array" + }, + "renderedParts": { + "readOnly": true, + "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", "type": "array", "items": { - "$ref": "#/components/schemas/Corpus" + "type": "integer", + "format": "int32" } } }, - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "description": "Grounding support.", "type": "object" }, - "SpeakerVoiceConfig": { - "description": "The configuration for a single speaker in a multi speaker setup.", + "FunctionResponsePart": { + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "type": "object", "properties": { - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", - "type": "string" - }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" + "inlineData": { + "$ref": "#/components/schemas/FunctionResponseBlob", + "description": "Inline media bytes." } } }, - "ListDocumentsResponse": { - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "FileData": { + "description": "URI based data.", "type": "object", "properties": { - "documents": { - "description": "The returned `Document`s.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Document" - } + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "fileUri": { + "description": "Required. URI.", "type": "string" } } }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", - "type": "object", + "CountTokensResponse": { "properties": { - "model": { - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "type": "string" - }, - "title": { - "description": "Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", - "type": "string" - }, - "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." - ], - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "description": "Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", - "type": "string" - }, - "outputDimensionality": { + "totalTokens": { "format": "int32", - "description": "Optional. 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`).", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", "type": "integer" }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content).", + "type": "integer", + "format": "int32" + }, + "promptTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", + "readOnly": true + }, + "cacheTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the cached content.", + "type": "array", + "readOnly": true } - } + }, + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "type": "object" }, - "Schema": { - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", + "ListFilesResponse": { + "description": "Response for `ListFiles`.", "type": "object", "properties": { - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." - }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" - }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" - }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", "type": "string" }, - "maxItems": { - "description": "Optional. Maximum number of the elements for Type.ARRAY.", - "type": "string", - "format": "int64" - }, - "required": { - "description": "Optional. Required properties of Type.OBJECT.", + "files": { + "description": "The list of `File`s.", "type": "array", "items": { - "type": "string" - } - }, - "minProperties": { - "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "type": "string" - }, - "minLength": { - "format": "int64", - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "type": "string" - }, - "minItems": { - "format": "int64", - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "type": "string" - }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/File" } - }, - "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\"]}", + } + } + }, + "Status": { + "properties": { + "details": { + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "type": "array", "items": { - "type": "string" + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } } }, - "minimum": { - "format": "double", - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number" + "message": { + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "type": "string" }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", - "type": "array", + "code": { + "description": "The status code, which should be an enum value of google.rpc.Code.", + "type": "integer", + "format": "int32" + } + }, + "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" + }, + "ListPermissionsResponse": { + "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "type": "object", + "properties": { + "permissions": { "items": { - "$ref": "#/components/schemas/Schema" - } + "$ref": "#/components/schemas/Permission" + }, + "description": "Returned permissions.", + "type": "array" }, - "title": { - "description": "Optional. The title of the schema.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" - }, - "maxProperties": { - "format": "int64", - "description": "Optional. Maximum number of the properties for Type.OBJECT.", + } + } + }, + "SpeakerVoiceConfig": { + "properties": { + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", "type": "string" }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" + } + }, + "description": "The configuration for a single speaker in a multi speaker setup.", + "type": "object" + }, + "BatchEmbedContentsResponse": { + "properties": { + "embeddings": { + "items": { + "$ref": "#/components/schemas/ContentEmbedding" + }, + "readOnly": true, + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "type": "array" }, - "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.", + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata" + } + }, + "description": "The response to a `BatchEmbedContentsRequest`.", + "type": "object" + }, + "Schema": { + "properties": { + "enum": { + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", "type": "array", "items": { "type": "string" } }, + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" + }, "type": { "description": "Required. Data type.", "type": "string", - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ], "x-enum-descriptions": [ "Not specified, should not be used.", "String type.", @@ -6287,314 +6321,280 @@ "Array type.", "Object type.", "Null type." + ], + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" ] }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." }, - "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", - "type": "string", - "format": "int64" + "anyOf": { + "items": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "type": "array" }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - } - } - }, - "LatLng": { - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", - "type": "object", - "properties": { - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "type": "number", - "format": "double" + "properties": { + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. Properties of Type.OBJECT.", + "type": "object" }, - "longitude": { + "minimum": { "format": "double", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", "type": "number" - } - } - }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", - "type": "object", - "properties": { - "shape": { - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "type": "array", - "items": { - "format": "int32", - "type": "integer" - } }, - "values": { - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "type": "array", - "items": { - "type": "number", - "format": "float" - } - } - } - }, - "GenerateContentRequest": { - "properties": { - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + "maximum": { + "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "type": "number" + }, + "minItems": { + "format": "int64", + "description": "Optional. Minimum number of the elements for Type.ARRAY.", "type": "string" }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" + "minLength": { + "format": "int64", + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "type": "string" }, - "serviceTier": { - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "description": "Optional. The service tier of the request.", - "type": "string", - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ] + "propertyOrdering": { + "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" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "title": { + "description": "Optional. The title of the schema.", "type": "string" }, - "tools": { - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - } + "minProperties": { + "format": "int64", + "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "type": "string" }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" + "items": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Schema of the elements of Type.ARRAY." }, - "safetySettings": { - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetySetting" - } + "maxLength": { + "description": "Optional. Maximum length of the Type.STRING", + "type": "string", + "format": "int64" }, - "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", + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "required": { "items": { - "$ref": "#/components/schemas/Content" - } + "type": "string" + }, + "description": "Optional. Required properties of Type.OBJECT.", + "type": "array" }, - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" + "maxProperties": { + "description": "Optional. Maximum number of the properties for Type.OBJECT.", + "type": "string", + "format": "int64" }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "type": "string" + }, + "nullable": { + "description": "Optional. Indicates if the value may be null.", "type": "boolean" + }, + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" } }, - "description": "Request to generate a completion from the model.", + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", "type": "object" }, - "TuningExample": { - "description": "A single example for tuning.", + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", "type": "object", "properties": { - "textInput": { - "description": "Optional. Text model input.", + "numericValue": { + "format": "float", + "description": "The numeric value of the metadata to store.", + "type": "number" + }, + "stringValue": { + "description": "The string value of the metadata to store.", "type": "string" }, - "output": { - "description": "Required. The expected model output.", + "key": { + "description": "Required. The key of the metadata to store.", "type": "string" + }, + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" } } }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", - "type": "object", + "InlinedEmbedContentRequest": { "properties": { - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", - "type": "string" - }, - "customMetadata": { - "description": "Custom metadata to be associated with the file.", - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." } }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" } - } + }, + "description": "The request to be processed in the batch.", + "type": "object" }, - "AttributionSourceId": { + "BatchGenerateContentRequest": { "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" - }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "batch": { + "$ref": "#/components/schemas/GenerateContentBatch", + "description": "Required. The batch to create." } }, - "description": "Identifier for the source contributing to this attribution.", + "description": "Request for a `BatchGenerateContent` operation.", "type": "object" }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", + "Image": { + "description": "Chunk from image search.", "type": "object", "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", + "title": { + "description": "The title of the web page that the image is from.", "type": "string" }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "sourceUri": { + "description": "The web page URI for attribution.", + "type": "string" + }, + "imageUri": { + "description": "The image asset URL.", + "type": "string" + }, + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" } } }, - "GenerateContentBatch": { + "CreateFileResponse": { + "description": "Response for `CreateFile`.", + "type": "object", "properties": { - "state": { - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "type": "string", + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" + } + } + }, + "ImageSearch": { + "properties": {}, + "description": "Image search for grounding and related configurations.", + "type": "object" + }, + "GroundingAttribution": { + "description": "Attribution for a source that contributed to an answer.", + "type": "object", + "properties": { + "sourceId": { "readOnly": true, - "description": "Output only. The state of the batch.", - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ] + "description": "Output only. Identifier for the source contributing to this attribution.", + "$ref": "#/components/schemas/AttributionSourceId" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "content": { + "$ref": "#/components/schemas/Content", + "description": "Grounding source content that makes up this attribution." + } + } + }, + "CachedContent": { + "properties": { + "ttl": { + "format": "google-duration", + "description": "Input only. New TTL for this resource, input only.", "type": "string" }, - "batchStats": { - "readOnly": true, - "$ref": "#/components/schemas/BatchStats", - "description": "Output only. Stats about the batch." + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "description": "Optional. Input only. Immutable. The content to cache.", + "type": "array" }, - "output": { + "updateTime": { "readOnly": true, - "$ref": "#/components/schemas/GenerateContentBatchOutput", - "description": "Output only. The output of the batch request." - }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" - }, - "createTime": { - "description": "Output only. The time at which the batch was created.", + "description": "Output only. When the cache entry was last updated in UTC time.", "type": "string", - "readOnly": true, "format": "google-datetime" }, - "endTime": { + "expireTime": { "format": "google-datetime", - "readOnly": true, - "description": "Output only. The time at which the batch processing completed.", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", "type": "string" }, "displayName": { - "description": "Required. The user-defined name of this batch.", + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", "type": "string" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" }, - "name": { + "usageMetadata": { "readOnly": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata" + }, + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", "type": "string" }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", - "type": "string", + "createTime": { + "format": "google-datetime", "readOnly": true, - "format": "google-datetime" - } - }, - "description": "A resource representing a batch of `GenerateContent` requests.", - "type": "object" - }, - "ModalityTokenCount": { - "properties": { - "tokenCount": { - "description": "Number of tokens.", - "type": "integer", - "format": "int32" + "description": "Output only. Creation time of the cache entry.", + "type": "string" }, - "modality": { - "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], - "description": "The modality associated with this token count.", + "name": { + "readOnly": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "type": "string" + }, + "systemInstruction": { + "$ref": "#/components/schemas/Content", + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only." + }, + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + } } }, - "description": "Represents token counting info for a single modality.", + "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", "type": "object" - }, - "RetrievalConfig": { - "description": "Retrieval config.", - "type": "object", - "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" - }, - "languageCode": { - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", - "type": "string" - } - } } } }