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 4f1ce0e6..6040c82e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -451,20 +451,20 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// Configures the input to the batch request. /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Stats about the batch. - /// /// /// 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}`. - /// - /// - /// Required. The user-defined name of this batch. + /// + /// Stats about the batch. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -473,22 +473,22 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( string batchesId, string? updateMask = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? displayName = default, + string? model = default, string? priority = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? model = default, - string? displayName = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { InputConfig = inputConfig, + DisplayName = displayName, + Model = model, Priority = priority, - BatchStats = batchStats, Output = output, - Model = model, - DisplayName = displayName, + BatchStats = batchStats, }; return await BatchesUpdateEmbedContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs index a1c38afd..6b52232d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -448,6 +448,15 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// + /// + /// 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. + /// + /// + /// Stats about the batch. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -457,38 +466,29 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// Configures the input to the batch request. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// Stats about the batch. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, + string? priority = default, + global::Google.Gemini.BatchStats? batchStats = default, string? model = default, string? displayName = default, global::Google.Gemini.InputConfig? inputConfig = default, - string? priority = default, - global::Google.Gemini.BatchStats? batchStats = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { + Output = output, + Priority = priority, + BatchStats = batchStats, Model = model, DisplayName = displayName, InputConfig = inputConfig, - Priority = priority, - BatchStats = batchStats, - Output = output, }; return await BatchesUpdateGenerateContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs index 8cb409f9..59b42815 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs @@ -425,14 +425,17 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Metadata on the usage of the cached content. @@ -443,42 +446,39 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// 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. - /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. 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( - string? expireTime = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + string? expireTime = default, + string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? displayName = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - string? ttl = 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 { - ExpireTime = expireTime, ToolConfig = toolConfig, - Tools = tools, + SystemInstruction = systemInstruction, + ExpireTime = expireTime, + Ttl = ttl, UsageMetadata = usageMetadata, DisplayName = displayName, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - Ttl = ttl, + Tools = tools, }; return await CachedContentsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs index 24bba1de..ea08574d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs @@ -448,14 +448,17 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Metadata on the usage of the cached content. @@ -466,14 +469,11 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// 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. - /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. 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 @@ -481,29 +481,29 @@ partial void ProcessCachedContentsPatchResponseContent( public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? expireTime = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + string? expireTime = default, + string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? displayName = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - string? ttl = 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 { - ExpireTime = expireTime, ToolConfig = toolConfig, - Tools = tools, + SystemInstruction = systemInstruction, + ExpireTime = expireTime, + Ttl = ttl, UsageMetadata = usageMetadata, DisplayName = displayName, Contents = contents, - SystemInstruction = systemInstruction, Model = model, - Ttl = ttl, + Tools = tools, }; return await CachedContentsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs index 0167d56a..b60eac67 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs @@ -438,28 +438,28 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, }; return await CorporaPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs index 5b7d23da..3c9a7e14 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs @@ -461,12 +461,12 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -475,16 +475,16 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string corporaId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, }; return await CorporaPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs index 249a9f02..0dd9b588 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SystemInstruction = systemInstruction, Contents = contents, - GenerationConfig = generationConfig, - ServiceTier = serviceTier, - Store = store, + Model = model, Tools = tools, - ToolConfig = toolConfig, + GenerationConfig = generationConfig, + SystemInstruction = systemInstruction, CachedContent = cachedContent, + ToolConfig = toolConfig, + Store = store, SafetySettings = safetySettings, + ServiceTier = serviceTier, }; 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 48d65c60..956a0fb1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SystemInstruction = systemInstruction, Contents = contents, - GenerationConfig = generationConfig, - ServiceTier = serviceTier, - Store = store, + Model = model, Tools = tools, - ToolConfig = toolConfig, + GenerationConfig = generationConfig, + SystemInstruction = systemInstruction, CachedContent = cachedContent, + ToolConfig = toolConfig, + Store = store, SafetySettings = safetySettings, + ServiceTier = serviceTier, }; 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 e2fa26c2..ad807e6e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -376,66 +376,66 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 { - Model = model, - SystemInstruction = systemInstruction, Contents = contents, - GenerationConfig = generationConfig, - ServiceTier = serviceTier, - Store = store, + Model = model, Tools = tools, - ToolConfig = toolConfig, + GenerationConfig = generationConfig, + SystemInstruction = systemInstruction, CachedContent = cachedContent, + ToolConfig = toolConfig, + Store = store, SafetySettings = safetySettings, + ServiceTier = serviceTier, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs index 7dac3545..9f8368aa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs @@ -425,25 +425,25 @@ partial void ProcessFileSearchStoresCreateResponseContent( /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. - /// /// /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// + /// + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? embeddingModel = default, string? displayName = default, + string? embeddingModel = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.FileSearchStore { - EmbeddingModel = embeddingModel, DisplayName = displayName, + EmbeddingModel = embeddingModel, }; return await FileSearchStoresCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index 84aaacd5..945fb3d5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -435,31 +435,31 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Custom metadata to be associated with the file. - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// + /// + /// Custom metadata to be associated with the file. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? fileName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.ImportFileRequest { - CustomMetadata = customMetadata, ChunkingConfig = chunkingConfig, FileName = fileName, + CustomMetadata = customMetadata, }; return await FileSearchStoresImportFileAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs index 3eea00a4..ed4d924b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs @@ -435,36 +435,36 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. - /// - /// - /// Custom metadata to be associated with the data. - /// /// /// Optional. Display name of the created document. /// + /// + /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// + /// + /// Custom metadata to be associated with the data. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? mimeType = default, - global::System.Collections.Generic.IList? customMetadata = default, string? displayName = default, + string? mimeType = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { - MimeType = mimeType, - CustomMetadata = customMetadata, DisplayName = displayName, + MimeType = mimeType, ChunkingConfig = chunkingConfig, + CustomMetadata = customMetadata, }; return await MediaUploadToFileSearchStoreAsync( 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 fee650dd..e1d939a4 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 @@ -435,26 +435,26 @@ 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 6d0e9cc9..c4e0cb91 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs @@ -437,12 +437,12 @@ 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). /// /// - /// - /// 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}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Configurations for the EmbedContent request. /// @@ -451,16 +451,16 @@ partial void ProcessModelsEmbedContentResponseContent( /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - global::Google.Gemini.Content? content = default, string? model = default, + global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { - Content = content, Model = model, + Content = content, EmbedContentConfig = embedContentConfig, }; 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 94f15805..cc760b42 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SystemInstruction = systemInstruction, Contents = contents, - GenerationConfig = generationConfig, - ServiceTier = serviceTier, - Store = store, + Model = model, Tools = tools, - ToolConfig = toolConfig, + GenerationConfig = generationConfig, + SystemInstruction = systemInstruction, CachedContent = cachedContent, + ToolConfig = toolConfig, + Store = store, SafetySettings = safetySettings, + ServiceTier = serviceTier, }; 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 4e1e0405..c3b1d4bc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SystemInstruction = systemInstruction, Contents = contents, - GenerationConfig = generationConfig, - ServiceTier = serviceTier, - Store = store, + Model = model, Tools = tools, - ToolConfig = toolConfig, + GenerationConfig = generationConfig, + SystemInstruction = systemInstruction, CachedContent = cachedContent, + ToolConfig = toolConfig, + Store = store, SafetySettings = safetySettings, + ServiceTier = serviceTier, }; 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 90788789..f0dd46c4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -376,66 +376,66 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 { - Model = model, - SystemInstruction = systemInstruction, Contents = contents, - GenerationConfig = generationConfig, - ServiceTier = serviceTier, - Store = store, + Model = model, Tools = tools, - ToolConfig = toolConfig, + GenerationConfig = generationConfig, + SystemInstruction = systemInstruction, CachedContent = cachedContent, + ToolConfig = toolConfig, + Store = store, SafetySettings = safetySettings, + ServiceTier = serviceTier, }; 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 da876fee..79ae7dee 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs @@ -438,61 +438,61 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. A short description of this model. - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Tuned model as a source for training a new model. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Optional. A short description of this model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - string? description = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, float? temperature = default, + int? topK = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, string? displayName = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + string? description = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, - int? topK = default, float? topP = default, - global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - Description = description, - ReaderProjectNumbers = readerProjectNumbers, Temperature = temperature, + TopK = topK, TunedModelSource = tunedModelSource, DisplayName = displayName, + ReaderProjectNumbers = readerProjectNumbers, + Description = description, + TuningTask = tuningTask, BaseModel = baseModel, - TopK = topK, TopP = topP, - TuningTask = tuningTask, }; return await TunedModelsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs index 7640a07a..c16ef8b3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SystemInstruction = systemInstruction, Contents = contents, - GenerationConfig = generationConfig, - ServiceTier = serviceTier, - Store = store, + Model = model, Tools = tools, - ToolConfig = toolConfig, + GenerationConfig = generationConfig, + SystemInstruction = systemInstruction, CachedContent = cachedContent, + ToolConfig = toolConfig, + Store = store, SafetySettings = safetySettings, + ServiceTier = serviceTier, }; 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 e1cde869..da881823 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs @@ -448,62 +448,62 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Optional. A short description of this model. - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Tuned model as a source for training a new model. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Optional. A short description of this model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - string? description = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, float? temperature = default, + int? topK = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, string? displayName = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + string? description = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, - int? topK = default, float? topP = default, - global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - Description = description, - ReaderProjectNumbers = readerProjectNumbers, Temperature = temperature, + TopK = topK, TunedModelSource = tunedModelSource, DisplayName = displayName, + ReaderProjectNumbers = readerProjectNumbers, + Description = description, + TuningTask = tuningTask, BaseModel = baseModel, - TopK = topK, TopP = topP, - TuningTask = tuningTask, }; return await TunedModelsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs index 58eaf040..13bffeb0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs @@ -438,28 +438,28 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, }; return await TunedModelsPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs index 36931011..77b7f6ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs @@ -461,12 +461,12 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -475,16 +475,16 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string permissionsId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { EmailAddress = emailAddress, - Role = role, GranteeType = granteeType, + Role = role, }; return await TunedModelsPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs index 92b6337a..c4bafe48 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - SystemInstruction = systemInstruction, Contents = contents, - GenerationConfig = generationConfig, - ServiceTier = serviceTier, - Store = store, + Model = model, Tools = tools, - ToolConfig = toolConfig, + GenerationConfig = generationConfig, + SystemInstruction = systemInstruction, CachedContent = cachedContent, + ToolConfig = toolConfig, + Store = store, SafetySettings = safetySettings, + ServiceTier = serviceTier, }; 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 f4b6964f..e6de674e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -376,66 +376,66 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 { - Model = model, - SystemInstruction = systemInstruction, Contents = contents, - GenerationConfig = generationConfig, - ServiceTier = serviceTier, - Store = store, + Model = model, Tools = tools, - ToolConfig = toolConfig, + GenerationConfig = generationConfig, + SystemInstruction = systemInstruction, CachedContent = cachedContent, + ToolConfig = toolConfig, + Store = store, SafetySettings = safetySettings, + ServiceTier = serviceTier, }; 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 6ca33072..c8568cf1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -44,20 +44,20 @@ public partial interface IGeminiClient /// /// Configures the input to the batch request. /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Stats about the batch. - /// /// /// 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}`. - /// - /// - /// Required. The user-defined name of this batch. + /// + /// Stats about the batch. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -66,11 +66,11 @@ public partial interface IGeminiClient string batchesId, string? updateMask = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? displayName = default, + string? model = default, string? priority = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - string? model = default, - string? displayName = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index a0edc54f..d0587c43 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -41,6 +41,15 @@ public partial interface IGeminiClient /// /// /// + /// + /// 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. + /// + /// + /// Stats about the batch. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -50,27 +59,18 @@ public partial interface IGeminiClient /// /// Configures the input to the batch request. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// Stats about the batch. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, + string? priority = default, + global::Google.Gemini.BatchStats? batchStats = default, string? model = default, string? displayName = default, global::Google.Gemini.InputConfig? inputConfig = default, - string? priority = default, - global::Google.Gemini.BatchStats? batchStats = default, - global::Google.Gemini.GenerateContentBatchOutput? output = 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 ab874a82..dde8dea9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs @@ -31,14 +31,17 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Metadata on the usage of the cached content. @@ -49,28 +52,25 @@ public partial interface IGeminiClient /// /// 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. - /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. 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( - string? expireTime = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + string? expireTime = default, + string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? displayName = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - string? ttl = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs index 60f23018..24f940b2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs @@ -41,14 +41,17 @@ public partial interface IGeminiClient /// /// /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// Input only. New TTL for this resource, input only. /// /// /// Metadata on the usage of the cached content. @@ -59,14 +62,11 @@ public partial interface IGeminiClient /// /// 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. - /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. 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 @@ -74,15 +74,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? expireTime = default, global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + string? expireTime = default, + string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? displayName = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.Content? systemInstruction = default, string? model = default, - string? ttl = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index 6862024b..5ec2145a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs @@ -39,20 +39,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs index 23ae22ac..deb5b41f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs @@ -49,12 +49,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -63,8 +63,8 @@ public partial interface IGeminiClient string corporaId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs index 28e5bbbf..b9b28790 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 bd66e09c..e45def3c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 4451035a..bd17b938 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`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs index 456dc9c7..9edab07f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs @@ -31,18 +31,18 @@ public partial interface IGeminiClient /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. - /// /// /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// + /// + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? embeddingModel = default, string? displayName = default, + string? embeddingModel = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index e0b568c2..44182be1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Custom metadata to be associated with the file. - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// + /// + /// Custom metadata to be associated with the file. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? fileName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs index 1f0a12e7..dbbb97b0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -36,27 +36,27 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. - /// - /// - /// Custom metadata to be associated with the data. - /// /// /// Optional. Display name of the created document. /// + /// + /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// + /// + /// Custom metadata to be associated with the data. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? mimeType = default, - global::System.Collections.Generic.IList? customMetadata = default, string? displayName = default, + string? mimeType = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + global::System.Collections.Generic.IList? customMetadata = 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 a6d6ed6c..e386931b 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 @@ -36,19 +36,19 @@ 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 c9ec1671..2f5b194e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs @@ -38,12 +38,12 @@ 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). /// /// - /// - /// 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}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Configurations for the EmbedContent request. /// @@ -52,8 +52,8 @@ public partial interface IGeminiClient /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - global::Google.Gemini.Content? content = default, string? model = default, + global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index 38f3cb60..a01a1306 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 0dc700f6..5cf44d19 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 cf5bc587..35c22b14 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`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 48652345..f518495a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs @@ -36,47 +36,47 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. A short description of this model. - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Tuned model as a source for training a new model. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Optional. A short description of this model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - string? description = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, float? temperature = default, + int? topK = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, string? displayName = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + string? description = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, - int? topK = default, float? topP = default, - global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs index 42f376ac..fb536333 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 0b5c24fc..a78e44a8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -41,48 +41,48 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. A short description of this model. - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Tuned model as a source for training a new model. /// /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Optional. A short description of this model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// 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. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - string? description = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, float? temperature = default, + int? topK = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, string? displayName = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + string? description = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, - int? topK = default, float? topP = default, - global::Google.Gemini.TuningTask? tuningTask = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs index 2eced6f5..37eaa38e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs @@ -39,20 +39,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs index b9a1f31c..6e5c8adb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs @@ -49,12 +49,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -63,8 +63,8 @@ public partial interface IGeminiClient string permissionsId, string? updateMask = default, string? emailAddress = default, - global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs index b21f4ed1..fda15128 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 432149cd..185bcdfb 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`. /// /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// /// 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? model = default, - global::Google.Gemini.Content? systemInstruction = default, global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, + string? model = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, + global::Google.Gemini.ToolConfig? toolConfig = default, + bool? store = default, global::System.Collections.Generic.IList? safetySettings = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = 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 795cf657..bb941c9c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,137 +13,129 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - 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.TunedModelStateJsonConverter), typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), @@ -157,333 +149,341 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), 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.RegisterFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SemanticRetrieverChunk))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExample))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfigTaskType), TypeInfoPropertyName = "EmbedContentConfigTaskType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchState), TypeInfoPropertyName = "EmbedContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponses))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ResponseFormatConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormat))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageResponseFormat))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TextResponseFormat))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormat))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningSnapshot))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclaration))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TranslationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListPermissionsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Permission))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Interval))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchTypes))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatDelivery), TypeInfoPropertyName = "AudioResponseFormatDelivery2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclarationBehavior), TypeInfoPropertyName = "FunctionDeclarationBehavior2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatMimeType), TypeInfoPropertyName = "AudioResponseFormatMimeType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatDelivery), TypeInfoPropertyName = "AudioResponseFormatDelivery2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] + [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.GenerateContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRating))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingProbability), TypeInfoPropertyName = "SafetyRatingProbability2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedbackBlockReason), TypeInfoPropertyName = "PromptFeedbackBlockReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PrebuiltVoiceConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListOperationsResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponsePart))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCachedContentsResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.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.GroundingMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclarationBehavior), TypeInfoPropertyName = "FunctionDeclarationBehavior2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExample))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TextResponseFormatMimeType), TypeInfoPropertyName = "TextResponseFormatMimeType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListModelsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListPermissionsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearchRetrieval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfigTaskType), TypeInfoPropertyName = "EmbedContentConfigTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUseEnvironment), TypeInfoPropertyName = "ComputerUseEnvironment2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUseDisabledSafetyPolicie), TypeInfoPropertyName = "ComputerUseDisabledSafetyPolicie2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [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 c0f0bb06..eb8df7b0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,175 +28,175 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type0 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type0 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type1 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type1 { get; set; } /// /// /// - public global::Google.Gemini.File? Type2 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type2 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type3 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type3 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type4 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type4 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type5 { get; set; } + public float? Type5 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type6 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type6 { get; set; } /// /// /// - public string? Type7 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type7 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type8 { get; set; } + public string? Type8 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type9 { get; set; } + public global::Google.Gemini.ResponseFormatConfig? Type9 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type10 { get; set; } + public global::Google.Gemini.AudioResponseFormat? Type10 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type11 { get; set; } + public global::Google.Gemini.ImageResponseFormat? Type11 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type12 { get; set; } + public global::Google.Gemini.TextResponseFormat? Type12 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type13 { get; set; } + public global::Google.Gemini.UrlMetadata? Type13 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type14 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type14 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type15 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type15 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type16 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type16 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type17 { get; set; } + public global::System.Collections.Generic.IList? Type17 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type18 { get; set; } + public global::Google.Gemini.Content? Type18 { get; set; } /// /// /// - public int? Type19 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type19 { get; set; } /// /// /// - public float? Type20 { get; set; } + public global::Google.Gemini.Schema? Type20 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type21 { get; set; } + public object? Type21 { get; set; } /// /// /// - public bool? Type22 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type22 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type23 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type23 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type24 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type24 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type25 { get; set; } + public global::System.Collections.Generic.IList? Type25 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type26 { get; set; } + public int? Type26 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type27 { get; set; } + public global::Google.Gemini.AudioResponseFormatMimeType? Type27 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type28 { get; set; } + public global::Google.Gemini.AudioResponseFormatDelivery? Type28 { get; set; } /// /// /// - public global::Google.Gemini.ResponseFormatConfig? Type29 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type29 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormat? Type30 { get; set; } + public global::Google.Gemini.File? Type30 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormat? Type31 { get; set; } + public global::Google.Gemini.Status? Type31 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormat? Type32 { get; set; } + public global::Google.Gemini.FileSource? Type32 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type33 { get; set; } + public byte[]? Type33 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type34 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type34 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type35 { get; set; } + public global::Google.Gemini.FileState? Type35 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type36 { get; set; } + public global::Google.Gemini.InlinedResponses? Type36 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type37 { get; set; } + public global::System.Collections.Generic.IList? Type37 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type38 { get; set; } + public global::Google.Gemini.InlinedResponse? Type38 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type39 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type39 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type40 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type40 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type41 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type41 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type42 { get; set; } + public global::Google.Gemini.BatchStats? Type42 { get; set; } /// /// /// @@ -204,1011 +204,1011 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.BatchStats? Type44 { get; set; } + public global::Google.Gemini.ExecutableCode? Type44 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type45 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type45 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type46 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type46 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type47 { get; set; } + public global::Google.Gemini.ToolConfig? Type47 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type48 { get; set; } + public bool? Type48 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type49 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type49 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type50 { get; set; } + public global::Google.Gemini.ImageConfig? Type50 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type51 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type51 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type52 { get; set; } + public global::System.Collections.Generic.IList? Type52 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type53 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type53 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type54 { get; set; } + public global::Google.Gemini.SafetyRating? Type54 { get; set; } /// /// /// - public object? Type55 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type55 { get; set; } /// /// /// - public global::Google.Gemini.TranslationConfig? Type56 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type56 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type57 { get; set; } + public global::Google.Gemini.Operation? Type57 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type58 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type58 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type59 { get; set; } + public global::Google.Gemini.PromptFeedback? Type59 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type60 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type60 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type61 { get; set; } + public global::System.Collections.Generic.IList? Type61 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type62 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type62 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type63 { get; set; } + public global::Google.Gemini.InlinedRequests? 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.Permission? Type65 { get; set; } + public global::Google.Gemini.InlinedRequest? Type65 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type66 { get; set; } + public global::Google.Gemini.StringList? Type66 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type67 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type67 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type68 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type68 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type69 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type69 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type70 { get; set; } + public global::Google.Gemini.TunedModel? Type70 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type71 { get; set; } + public global::Google.Gemini.TunedModelState? Type71 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type72 { get; set; } + public global::Google.Gemini.TunedModelSource? Type72 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type73 { get; set; } + public global::Google.Gemini.TuningTask? Type73 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type74 { get; set; } + public global::Google.Gemini.Maps? Type74 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type75 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type75 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatDelivery? Type76 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type76 { get; set; } /// /// /// - public global::Google.Gemini.AudioResponseFormatMimeType? Type77 { get; set; } + public global::System.Collections.Generic.IList? Type77 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type78 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type78 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type79 { get; set; } + public global::System.Collections.Generic.IList? Type79 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type80 { get; set; } + public global::Google.Gemini.CachedContent? Type80 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type81 { get; set; } + public global::Google.Gemini.Document? Type81 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type82 { get; set; } + public global::Google.Gemini.DocumentState? Type82 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type83 { get; set; } + public global::System.Collections.Generic.IList? Type83 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type84 { get; set; } + public global::Google.Gemini.CustomMetadata? Type84 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type85 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type85 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type86 { get; set; } + public global::Google.Gemini.ModelStatus? Type86 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type87 { get; set; } + public global::Google.Gemini.UsageMetadata? Type87 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type88 { get; set; } + public global::System.Collections.Generic.IList? Type88 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type89 { get; set; } + public global::Google.Gemini.Candidate? Type89 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type90 { get; set; } + public global::Google.Gemini.RetrievedContext? Type90 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type91 { get; set; } + public global::System.Collections.Generic.IList? Type91 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type92 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type92 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type93 { get; set; } + public global::Google.Gemini.ToolResponse? Type93 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type94 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type94 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type95 { get; set; } + public global::System.Collections.Generic.IList? Type95 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type96 { get; set; } + public global::Google.Gemini.Part? Type96 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type97 { get; set; } + public global::Google.Gemini.Corpus? Type97 { get; set; } /// /// /// - public double? Type98 { get; set; } + public global::Google.Gemini.Image? Type98 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type99 { get; set; } + public global::Google.Gemini.FileSearchStore? Type99 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type100 { get; set; } + public global::Google.Gemini.GeneratedFile? Type100 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type101 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type101 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type102 { get; set; } + public global::Google.Gemini.WebSearch? Type102 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type103 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type103 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type104 { get; set; } + public global::Google.Gemini.VoiceConfig? Type104 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type105 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type105 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type106 { get; set; } + public double? Type106 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type107 { get; set; } + public global::Google.Gemini.CitationMetadata? Type107 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type108 { get; set; } + public global::Google.Gemini.LogprobsResult? Type108 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type109 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type109 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type110 { get; set; } + public global::System.Collections.Generic.IList? Type110 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type111 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type111 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type112 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type112 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type113 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type113 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type114 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type114 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type115 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type115 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type116 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type116 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type117 { get; set; } + public global::Google.Gemini.FileSearch? Type117 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type118 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type118 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type119 { get; set; } + public global::Google.Gemini.TopCandidates? Type119 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type120 { get; set; } + public global::System.Collections.Generic.IList? Type120 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type121 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type121 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type122 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type122 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type123 { get; set; } + public global::System.Collections.Generic.IList? Type123 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type124 { get; set; } + public global::Google.Gemini.Tool? Type124 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type125 { get; set; } + public global::Google.Gemini.UrlContext? Type125 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type126 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type126 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type127 { get; set; } + public global::System.Collections.Generic.IList? Type127 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type128 { get; set; } + public global::Google.Gemini.Model? Type128 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type129 { get; set; } + public global::Google.Gemini.Dataset? Type129 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type130 { get; set; } + public global::Google.Gemini.Hyperparameters? Type130 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type131 { get; set; } + public global::System.Collections.Generic.IList? Type131 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type132 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type132 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type133 { get; set; } + public global::System.Collections.Generic.IList? Type133 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type134 { get; set; } + public global::Google.Gemini.CitationSource? Type134 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type135 { get; set; } + public global::Google.Gemini.UsageMetadataServiceTier? Type135 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type136 { get; set; } + public global::System.Collections.Generic.IList? Type136 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type137 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type137 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type138 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type138 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type139 { get; set; } + public global::Google.Gemini.CodeExecution? Type139 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type140 { get; set; } + public global::Google.Gemini.SearchTypes? Type140 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type141 { get; set; } + public global::Google.Gemini.ImageSearch? Type141 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type142 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type142 { get; set; } /// /// /// - public byte[]? Type143 { get; set; } + public global::Google.Gemini.Blob? Type143 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type144 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type144 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type145 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type145 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type146 { get; set; } + public global::System.Collections.Generic.IList? Type146 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type147 { get; set; } + public global::Google.Gemini.GenerationConfig? Type147 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type148 { get; set; } + public global::Google.Gemini.TranslationConfig? Type148 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type149 { get; set; } + public global::System.Collections.Generic.IList? Type149 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type150 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type150 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type151 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type151 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type152 { get; set; } + public global::Google.Gemini.SpeechConfig? Type152 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type153 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type153 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type154 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type154 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type155 { get; set; } + public global::Google.Gemini.LatLng? Type155 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type156 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type156 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type157 { get; set; } + public global::System.Collections.Generic.IList? Type157 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type158 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type158 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type159 { get; set; } + public global::Google.Gemini.Interval? Type159 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type160 { get; set; } + public global::Google.Gemini.McpServer? Type160 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type161 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type161 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type162 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type162 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type163 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type163 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type164 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type164 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type165 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type165 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type166 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type166 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type167 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type167 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type168 { get; set; } + public global::Google.Gemini.Permission? Type168 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type169 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type169 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type170 { get; set; } + public global::Google.Gemini.PermissionRole? Type170 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type171 { get; set; } + public global::Google.Gemini.FunctionResponse? Type171 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type172 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type172 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type173 { get; set; } + public global::System.Collections.Generic.IList? Type173 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type174 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type174 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type175 { get; set; } + public global::System.Collections.Generic.IList? Type175 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type176 { get; set; } + public global::System.Collections.Generic.Dictionary? Type176 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type177 { get; set; } + public global::Google.Gemini.SchemaType? Type177 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type178 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type178 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type179 { get; set; } + public global::Google.Gemini.ImageResponseFormatDelivery? Type179 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type180 { get; set; } + public global::Google.Gemini.ImageResponseFormatMimeType? Type180 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type181 { get; set; } + public global::Google.Gemini.ImageResponseFormatAspectRatio? Type181 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type182 { get; set; } + public global::Google.Gemini.ImageResponseFormatImageSize? Type182 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type183 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type183 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type184 { get; set; } + public global::System.Collections.Generic.IList? Type184 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadataServiceTier? Type185 { get; set; } + public global::Google.Gemini.Web? Type185 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type186 { get; set; } + public global::System.Collections.Generic.IList? Type186 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type187 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type187 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type188 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type188 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type189 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type189 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type190 { get; set; } + public global::System.Collections.Generic.IList? Type190 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type191 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type191 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type193 { get; set; } + public global::Google.Gemini.GroundingChunk? Type193 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type194 { get; set; } + public global::System.Collections.Generic.IList? Type194 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type195 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type195 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type196 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type196 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type197 { get; set; } + public global::System.Collections.Generic.IList? Type197 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type198 { get; set; } + public global::System.Collections.Generic.IList? Type198 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type199 { get; set; } + public global::Google.Gemini.TuningExamples? Type199 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type200 { get; set; } + public global::System.Collections.Generic.IList? Type200 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type201 { get; set; } + public global::Google.Gemini.TuningExample? Type201 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type202 { get; set; } + public global::Google.Gemini.Empty? Type202 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type203 { get; set; } + public global::Google.Gemini.GoogleSearch? Type203 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type204 { get; set; } + public global::Google.Gemini.VideoMetadata? Type204 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type205 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type205 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type206 { get; set; } + public global::System.Collections.Generic.IList? Type206 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type207 { get; set; } + public global::System.Collections.Generic.IList? Type207 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type208 { get; set; } + public global::Google.Gemini.SafetySetting? Type208 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type209 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type209 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type210 { get; set; } + public global::Google.Gemini.TextResponseFormatMimeType? Type210 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type211 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type211 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type212 { get; set; } + public global::System.Collections.Generic.IList? Type212 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type213 { get; set; } + public global::System.Collections.Generic.IList? Type213 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type214 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type214 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type215 { get; set; } + public global::Google.Gemini.GoogleMaps? Type215 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type216 { get; set; } + public global::System.Collections.Generic.IList? Type216 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type217 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type217 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type218 { get; set; } + public global::System.Collections.Generic.IList? Type218 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type219 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type219 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type220 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type220 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type221 { get; set; } + public global::System.Collections.Generic.Dictionary? Type221 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type222 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type222 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? 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.FileData? Type224 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type225 { get; set; } + public global::Google.Gemini.FunctionCall? Type225 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type226 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type226 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type227 { get; set; } + public global::Google.Gemini.ComputerUse? Type227 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type228 { get; set; } + public global::System.Collections.Generic.IList? Type228 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatMimeType? Type229 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type229 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatAspectRatio? Type230 { get; set; } + public global::System.Collections.Generic.IList? Type230 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatImageSize? Type231 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type231 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatDelivery? Type232 { get; set; } + public global::System.Collections.Generic.IList? Type232 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type233 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type233 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type234 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type234 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type235 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type235 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type236 { get; set; } + public global::Google.Gemini.ToolCall? Type236 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type237 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type237 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type238 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type238 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type239 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type239 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type240 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type240 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type241 { get; set; } + public global::System.Collections.Generic.IList? Type241 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type242 { get; set; } + public global::System.Collections.Generic.IList? Type242 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type243 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type243 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type244 { get; set; } + public global::System.Collections.Generic.IList? Type244 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type245 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type245 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type246 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type246 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormatMimeType? Type247 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type247 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type248 { get; set; } + public global::System.Collections.Generic.IList? Type248 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type249 { get; set; } + public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type249 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType29 { get; set; } + public global::System.Collections.Generic.List? ListType29 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType38 { get; set; } + public global::System.Collections.Generic.List? ListType38 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType39 { get; set; } + public global::System.Collections.Generic.List? ListType39 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType40 { get; set; } + public global::System.Collections.Generic.List? ListType40 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType41 { get; set; } + public global::System.Collections.Generic.List? ListType41 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType42 { get; set; } + public global::System.Collections.Generic.List? ListType42 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType43 { get; set; } + public global::System.Collections.Generic.List? ListType43 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType44 { get; set; } + public global::System.Collections.Generic.List? ListType44 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType45 { get; set; } + public global::System.Collections.Generic.List? ListType45 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs index 5f9a1bf9..31aabb54 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class AttributionSourceId { - /// - /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("semanticRetrieverChunk")] - public global::Google.Gemini.SemanticRetrieverChunk? SemanticRetrieverChunk { get; set; } - /// /// Identifier for a part within a `GroundingPassage`. /// [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] public global::Google.Gemini.GroundingPassageId? GroundingPassage { get; set; } + /// + /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("semanticRetrieverChunk")] + public global::Google.Gemini.SemanticRetrieverChunk? SemanticRetrieverChunk { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class AttributionSourceId /// /// Initializes a new instance of the class. /// - /// - /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. - /// /// /// Identifier for a part within a `GroundingPassage`. /// + /// + /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AttributionSourceId( - global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk, - global::Google.Gemini.GroundingPassageId? groundingPassage) + global::Google.Gemini.GroundingPassageId? groundingPassage, + global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk) { - this.SemanticRetrieverChunk = semanticRetrieverChunk; this.GroundingPassage = groundingPassage; + this.SemanticRetrieverChunk = semanticRetrieverChunk; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs index 11c66f54..fde13634 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class AudioResponseFormat { - /// - /// Optional. The delivery mode for the audio output. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("delivery")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter))] - public global::Google.Gemini.AudioResponseFormatDelivery? Delivery { get; set; } - /// /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). /// @@ -34,6 +27,13 @@ public sealed partial class AudioResponseFormat [global::System.Text.Json.Serialization.JsonPropertyName("sampleRate")] public int? SampleRate { get; set; } + /// + /// Optional. The delivery mode for the audio output. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("delivery")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter))] + public global::Google.Gemini.AudioResponseFormatDelivery? Delivery { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,9 +43,6 @@ public sealed partial class AudioResponseFormat /// /// Initializes a new instance of the class. /// - /// - /// Optional. The delivery mode for the audio output. - /// /// /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). /// @@ -55,19 +52,22 @@ public sealed partial class AudioResponseFormat /// /// Optional. Sample rate in Hz. /// + /// + /// Optional. The delivery mode for the audio output. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AudioResponseFormat( - global::Google.Gemini.AudioResponseFormatDelivery? delivery, int? bitRate, global::Google.Gemini.AudioResponseFormatMimeType? mimeType, - int? sampleRate) + int? sampleRate, + global::Google.Gemini.AudioResponseFormatDelivery? delivery) { - this.Delivery = delivery; this.BitRate = bitRate; this.MimeType = mimeType; this.SampleRate = sampleRate; + this.Delivery = delivery; } /// 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 c0401cbe..80acbe05 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 @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class BatchStats { /// - /// 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; } /// /// Output only. The number of requests that failed to be processed.
@@ -45,14 +45,14 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that are still pending processing.
- /// Included only in responses - /// /// /// Output only. The number of requests that were successfully 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 failed to be processed.
/// Included only in responses @@ -65,13 +65,13 @@ public sealed partial class BatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? pendingRequestCount, string? successfulRequestCount, + string? pendingRequestCount, string? failedRequestCount, string? requestCount) { - this.PendingRequestCount = pendingRequestCount; this.SuccessfulRequestCount = successfulRequestCount; + this.PendingRequestCount = pendingRequestCount; this.FailedRequestCount = failedRequestCount; this.RequestCount = requestCount; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs index 17a76eb9..2f59c767 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Blob { - /// - /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Raw bytes for media formats. /// [global::System.Text.Json.Serialization.JsonPropertyName("data")] public byte[]? Data { get; set; } + /// + /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Blob /// /// Initializes a new instance of the class. /// - /// - /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // - /// /// /// Raw bytes for media formats. /// + /// + /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Blob( - string? mimeType, - byte[]? data) + byte[]? data, + string? mimeType) { - this.MimeType = mimeType; this.Data = data; + this.MimeType = mimeType; } /// 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 e22d6fc5..1488067b 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 @@ -8,6 +8,19 @@ namespace Google.Gemini /// public sealed partial class CachedContent { + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses @@ -16,22 +29,29 @@ public sealed partial class CachedContent public string? Name { get; set; } /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// Output only. Creation time of the cache entry.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { 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. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// 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("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } + + /// + /// Input only. New TTL for this resource, input only. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// /// Metadata on the usage of the cached content. @@ -51,19 +71,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("contents")] public global::System.Collections.Generic.IList? Contents { get; set; } - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } - - /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// @@ -71,17 +78,10 @@ public sealed partial class CachedContent public string? Model { get; set; } /// - /// Input only. New TTL for this resource, input only. - /// - [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. A list of `Tools` the model may use to generate the next response /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { 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 @@ -92,18 +92,29 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses /// + /// + /// Output only. Creation time of the cache entry.
+ /// Included only in responses + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Input only. New TTL for this resource, input only. /// /// /// Metadata on the usage of the cached content. @@ -114,52 +125,41 @@ public sealed partial class CachedContent /// /// 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. - /// - /// - /// Output only. Creation time of the cache entry.
- /// Included only in responses - /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( + string? updateTime, + global::Google.Gemini.ToolConfig? toolConfig, string? name, + string? createTime, + global::Google.Gemini.Content? systemInstruction, string? expireTime, - global::Google.Gemini.ToolConfig? toolConfig, - global::System.Collections.Generic.IList? tools, + string? ttl, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, string? displayName, global::System.Collections.Generic.IList? contents, - global::Google.Gemini.Content? systemInstruction, - string? createTime, string? model, - string? ttl, - string? updateTime) + global::System.Collections.Generic.IList? tools) { + this.UpdateTime = updateTime; + this.ToolConfig = toolConfig; this.Name = name; + this.CreateTime = createTime; + this.SystemInstruction = systemInstruction; this.ExpireTime = expireTime; - this.ToolConfig = toolConfig; - this.Tools = tools; + this.Ttl = ttl; this.UsageMetadata = usageMetadata; this.DisplayName = displayName; this.Contents = contents; - this.SystemInstruction = systemInstruction; - this.CreateTime = createTime; this.Model = model; - this.Ttl = ttl; - this.UpdateTime = updateTime; + 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 267f55fb..88a0af35 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 @@ -9,83 +9,83 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// Metadata related to url context retrieval tool. + /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] + public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// 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("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// - /// Logprobs Result + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// - /// 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. Index of the candidate in the list of response candidates.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } /// - /// A collection of source attributions for a piece of content. + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Output only. Token count for this candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses + /// A collection of source attributions for a piece of content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [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.
- /// Included only in responses + /// Metadata returned to client when grounding is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] - public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// Output only. Token count for this candidate.
+ /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// /// 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. /// - /// - /// Metadata related to url context retrieval tool. - /// - /// - /// Metadata returned to client when grounding is enabled. - /// - /// - /// Logprobs Result + /// + /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// Included only in responses /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// A collection of source attributions for a piece of content. - /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// + /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// + /// 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. /// - /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// + /// Output only. Token count for this 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 + /// + /// A collection of source attributions for a piece of content. /// - /// - /// Output only. Average log probability score of the candidate.
+ /// + /// Logprobs Result + /// + /// + /// Metadata returned to client when grounding is enabled. + /// + /// + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - /// - /// Output only. Token count for this candidate.
+ /// + /// Metadata related to url context retrieval tool. + /// + /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - global::Google.Gemini.GroundingMetadata? groundingMetadata, - global::Google.Gemini.LogprobsResult? logprobsResult, + global::Google.Gemini.CandidateFinishReason? finishReason, global::Google.Gemini.Content? content, + double? avgLogprobs, + int? index, + global::System.Collections.Generic.IList? safetyRatings, + int? tokenCount, global::Google.Gemini.CitationMetadata? citationMetadata, - string? finishMessage, + global::Google.Gemini.LogprobsResult? logprobsResult, + global::Google.Gemini.GroundingMetadata? groundingMetadata, global::System.Collections.Generic.IList? groundingAttributions, - global::System.Collections.Generic.IList? safetyRatings, - int? index, - global::Google.Gemini.CandidateFinishReason? finishReason, - double? avgLogprobs, - int? tokenCount) + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, + string? finishMessage) { - this.UrlContextMetadata = urlContextMetadata; - this.GroundingMetadata = groundingMetadata; - this.LogprobsResult = logprobsResult; - this.Content = content; - this.CitationMetadata = citationMetadata; - this.FinishMessage = finishMessage; - this.GroundingAttributions = groundingAttributions; - this.SafetyRatings = safetyRatings; - this.Index = index; this.FinishReason = finishReason; + this.Content = content; this.AvgLogprobs = avgLogprobs; + this.Index = index; + this.SafetyRatings = safetyRatings; this.TokenCount = tokenCount; + this.CitationMetadata = citationMetadata; + this.LogprobsResult = logprobsResult; + this.GroundingMetadata = groundingMetadata; + this.GroundingAttributions = groundingAttributions; + this.UrlContextMetadata = urlContextMetadata; + this.FinishMessage = finishMessage; } /// 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 11556e1a..a1771d2d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class CodeExecutionResult { + /// + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public string? Output { get; set; } + /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// @@ -21,12 +27,6 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public string? Output { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -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. + /// /// /// 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, string? id, - global::Google.Gemini.CodeExecutionResultOutcome? outcome, - string? output) + global::Google.Gemini.CodeExecutionResultOutcome? outcome) { + this.Output = output; this.Id = id; this.Outcome = outcome; - this.Output = output; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs index 6e234610..62ac5824 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ComputerUse { - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] - public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } - /// /// Optional. Whether enable the prompt injection detection check on computer-use request. /// [global::System.Text.Json.Serialization.JsonPropertyName("enablePromptInjectionDetection")] public bool? EnablePromptInjectionDetection { get; set; } + /// + /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] + public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } + /// /// Required. The environment being operated. /// @@ -42,12 +42,12 @@ public sealed partial class ComputerUse /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// Optional. Whether enable the prompt injection detection check on computer-use request. /// + /// + /// 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. + /// /// /// Required. The environment being operated. /// @@ -58,13 +58,13 @@ public sealed partial class ComputerUse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( - global::System.Collections.Generic.IList? excludedPredefinedFunctions, bool? enablePromptInjectionDetection, + global::System.Collections.Generic.IList? excludedPredefinedFunctions, global::Google.Gemini.ComputerUseEnvironment? environment, global::System.Collections.Generic.IList? disabledSafetyPolicies) { - this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; this.EnablePromptInjectionDetection = enablePromptInjectionDetection; + this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; this.Environment = environment; this.DisabledSafetyPolicies = disabledSafetyPolicies; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs index c53213b9..db1b7f3e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Content { - /// - /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("role")] - public string? Role { get; set; } - /// /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. /// [global::System.Text.Json.Serialization.JsonPropertyName("parts")] public global::System.Collections.Generic.IList? Parts { get; set; } + /// + /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("role")] + public string? Role { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Content /// /// Initializes a new instance of the class. /// - /// - /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. - /// /// /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. /// + /// + /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Content( - string? role, - global::System.Collections.Generic.IList? parts) + global::System.Collections.Generic.IList? parts, + string? role) { - this.Role = role; this.Parts = parts; + this.Role = role; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs index 08d8bd0e..7549221f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class Corpus { - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - /// /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses @@ -23,11 +16,11 @@ public sealed partial class Corpus public string? CreateTime { get; set; } /// - /// 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`
+ /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// 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" @@ -35,6 +28,13 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,34 +44,34 @@ public sealed partial class Corpus /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
- /// Included only in responses - /// /// /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses /// - /// - /// Output only. 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`
+ /// + /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// /// /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// + /// + /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? updateTime, string? createTime, - string? name, - string? displayName) + string? updateTime, + string? displayName, + string? name) { - this.UpdateTime = updateTime; this.CreateTime = createTime; - this.Name = name; + this.UpdateTime = updateTime; this.DisplayName = displayName; + this.Name = name; } /// 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 263ea346..b3630d1d 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 249717c8..5d22d08d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -9,30 +9,30 @@ namespace Google.Gemini public sealed partial class CountTokensResponse { /// - /// Number of tokens in the cached part of the prompt (the cached content). + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] + public int? TotalTokens { get; set; } /// - /// Output only. List of modalities that were processed in the cached content.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// Number of tokens in the cached part of the prompt (the cached content). /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] - public int? TotalTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,13 +43,6 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// - /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses - /// /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// @@ -57,19 +50,26 @@ public sealed partial class CountTokensResponse /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// + /// + /// Number of tokens in the cached part of the prompt (the cached content). + /// + /// + /// Output only. List of modalities that were processed in the cached content.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - int? cachedContentTokenCount, - global::System.Collections.Generic.IList? cacheTokensDetails, int? totalTokens, - global::System.Collections.Generic.IList? promptTokensDetails) + global::System.Collections.Generic.IList? promptTokensDetails, + int? cachedContentTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails) { - this.CachedContentTokenCount = cachedContentTokenCount; - this.CacheTokensDetails = cacheTokensDetails; this.TotalTokens = totalTokens; this.PromptTokensDetails = promptTokensDetails; + this.CachedContentTokenCount = cachedContentTokenCount; + 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 10814990..149ff1ae 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 @@ -8,30 +8,30 @@ 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; } - /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// [global::System.Text.Json.Serialization.JsonPropertyName("done")] public bool? Done { get; set; } + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } + + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// 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. /// @@ -47,18 +47,18 @@ 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`. - /// /// /// 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}`. - /// /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// @@ -66,16 +66,16 @@ public sealed partial class CustomLongRunningOperation [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - object? response, global::Google.Gemini.Status? error, - string? name, bool? done, + object? response, + string? name, object? metadata) { - this.Response = response; this.Error = error; - this.Name = name; this.Done = done; + this.Response = response; + this.Name = name; 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 71d22575..6ae533dc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class CustomMetadata { - /// - /// The string value of the metadata to store. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } - /// /// User provided string values assigned to a single metadata key. /// [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] public global::Google.Gemini.StringList? StringListValue { 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; } + /// + /// The string value of the metadata to store. + /// + [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; } + /// /// 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. /// - /// - /// The string value of the metadata to store. - /// /// /// User provided string values assigned to a single metadata key. /// - /// - /// The numeric value of the metadata to store. - /// /// /// Required. The key of the metadata to store. /// + /// + /// The string value of the metadata to store. + /// + /// + /// The numeric value of the metadata to store. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - string? stringValue, global::Google.Gemini.StringList? stringListValue, - float? numericValue, - string? key) + string? key, + string? stringValue, + float? numericValue) { - this.StringValue = stringValue; this.StringListValue = stringListValue; - this.NumericValue = numericValue; this.Key = key; + this.StringValue = stringValue; + this.NumericValue = numericValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index 54baf864..868727ff 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 @@ -9,18 +9,19 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. The mime type of the Document.
+ /// Output only. Current state of the `Document`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { 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; } /// /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. @@ -29,38 +30,37 @@ public sealed partial class Document public global::System.Collections.Generic.IList? CustomMetadata { 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` + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// Output only. The Timestamp of when the `Document` was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. 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; } /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,56 +71,56 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `Document` was created.
+ /// + /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - /// - /// Output only. The mime type of the Document.
+ /// + /// Output only. Current state 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`. /// - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + /// Output only. The 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 /// /// /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses - /// - /// - /// Output only. Current state of the `Document`.
+ /// + /// Output only. The mime type of the Document.
/// Included only in responses /// - /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses + /// + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? createTime, - string? mimeType, - global::System.Collections.Generic.IList? customMetadata, - string? name, - string? displayName, string? updateTime, global::Google.Gemini.DocumentState? state, - string? sizeBytes) + global::System.Collections.Generic.IList? customMetadata, + string? sizeBytes, + string? createTime, + string? displayName, + string? mimeType, + string? name) { - this.CreateTime = createTime; - this.MimeType = mimeType; - this.CustomMetadata = customMetadata; - this.Name = name; - this.DisplayName = displayName; this.UpdateTime = updateTime; this.State = state; + this.CustomMetadata = customMetadata; this.SizeBytes = sizeBytes; + this.CreateTime = createTime; + this.DisplayName = displayName; + this.MimeType = mimeType; + this.Name = name; } /// 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 5ea43bcc..07d5a6bc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs @@ -9,12 +9,11 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// Output only. The state of the batch.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// /// Configures the input to the batch request. @@ -23,49 +22,43 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } - - /// - /// Stats about the batch. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// 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}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// 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; } /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// /// Output only. The time at which the batch was created.
@@ -75,10 +68,17 @@ public sealed partial class EmbedContentBatch public string? CreateTime { get; set; } /// - /// Required. The user-defined name of this batch. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// 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. The time at which the batch processing completed.
/// Included only in responses /// /// /// Configures the input to the batch request. /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Stats about the batch. - /// /// /// 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}`.
- /// Included only in responses - /// - /// - /// 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.
+ /// + /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Required. The user-defined name of this batch. + /// + /// Stats about the batch. + /// + /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - global::Google.Gemini.EmbedContentBatchState? state, + string? endTime, global::Google.Gemini.InputEmbedContentConfig? inputConfig, + string? displayName, + string? model, + string? updateTime, string? priority, - global::Google.Gemini.EmbedContentBatchStats? batchStats, global::Google.Gemini.EmbedContentBatchOutput? output, - string? name, - string? endTime, - string? updateTime, - string? model, + global::Google.Gemini.EmbedContentBatchState? state, string? createTime, - string? displayName) + global::Google.Gemini.EmbedContentBatchStats? batchStats, + string? name) { - this.State = state; + this.EndTime = endTime; this.InputConfig = inputConfig; + this.DisplayName = displayName; + this.Model = model; + this.UpdateTime = updateTime; this.Priority = priority; - this.BatchStats = batchStats; this.Output = output; - this.Name = name; - this.EndTime = endTime; - this.UpdateTime = updateTime; - this.Model = model; + this.State = state; this.CreateTime = createTime; - this.DisplayName = displayName; + this.BatchStats = batchStats; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs index f4312aaa..de6eaccb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class EmbedContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class EmbedContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses) + global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs index 95978118..10fdeda0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -9,32 +9,32 @@ namespace Google.Gemini public sealed partial class EmbedContentBatchStats { /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } /// - /// Output only. The number of requests that are still pending processing.
+ /// 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 in the batch.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - /// - /// Output only. The number of requests that are still pending processing.
- /// Included only in responses - /// /// /// Output only. The number of requests in the batch.
/// Included only in responses /// + /// + /// 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 EmbedContentBatchStats( - string? successfulRequestCount, string? failedRequestCount, - string? pendingRequestCount, - string? requestCount) + string? requestCount, + string? successfulRequestCount, + string? pendingRequestCount) { - this.SuccessfulRequestCount = successfulRequestCount; this.FailedRequestCount = failedRequestCount; - this.PendingRequestCount = pendingRequestCount; this.RequestCount = requestCount; + this.SuccessfulRequestCount = successfulRequestCount; + this.PendingRequestCount = pendingRequestCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs index d61345e1..e0044dd4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class EmbedContentConfig { /// - /// Optional. The title for the text. + /// Optional. The task type of the embedding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] + public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } /// /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. @@ -21,29 +22,28 @@ public sealed partial class EmbedContentConfig public int? OutputDimensionality { get; set; } /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// Optional. Whether to extract audio from video content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] - public bool? AutoTruncate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] + public bool? AudioTrackExtraction { get; set; } /// - /// Optional. Whether to enable OCR for document content. + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] + public bool? AutoTruncate { get; set; } /// - /// Optional. The task type of the embedding. + /// Optional. The title for the text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] - public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. Whether to extract audio from video content. + /// Optional. Whether to enable OCR for document content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,41 +54,41 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. The title for the text. + /// + /// Optional. The task type of the embedding. /// /// /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// + /// + /// Optional. Whether to extract audio from video content. + /// /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// + /// + /// Optional. The title for the text. + /// /// /// Optional. Whether to enable OCR for document content. /// - /// - /// Optional. The task type of the embedding. - /// - /// - /// Optional. Whether to extract audio from video content. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - string? title, + global::Google.Gemini.EmbedContentConfigTaskType? taskType, int? outputDimensionality, + bool? audioTrackExtraction, bool? autoTruncate, - bool? documentOcr, - global::Google.Gemini.EmbedContentConfigTaskType? taskType, - bool? audioTrackExtraction) + string? title, + bool? documentOcr) { - this.Title = title; + this.TaskType = taskType; this.OutputDimensionality = outputDimensionality; + this.AudioTrackExtraction = audioTrackExtraction; this.AutoTruncate = autoTruncate; + this.Title = title; this.DocumentOcr = documentOcr; - this.TaskType = taskType; - this.AudioTrackExtraction = audioTrackExtraction; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs index 2059d907..bb722bd2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs @@ -11,11 +11,12 @@ namespace Google.Gemini public sealed partial class EmbedContentRequest { /// - /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. + /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] [global::System.Obsolete("This property marked as deprecated.")] - public string? Title { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } /// /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). @@ -24,12 +25,6 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public int? OutputDimensionality { get; set; } - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } - /// /// 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}` /// @@ -37,12 +32,10 @@ public sealed partial class EmbedContentRequest public string? Model { get; set; } /// - /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). + /// 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("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Configurations for the EmbedContent request. @@ -50,6 +43,13 @@ public sealed partial class EmbedContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } + /// + /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + [global::System.Obsolete("This property marked as deprecated.")] + public string? Title { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -59,12 +59,12 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Configurations for the EmbedContent request. /// @@ -72,12 +72,12 @@ public sealed partial class EmbedContentRequest [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( - global::Google.Gemini.Content? content, string? model, + global::Google.Gemini.Content? content, global::Google.Gemini.EmbedContentConfig? embedContentConfig) { - this.Content = content; this.Model = model; + this.Content = content; this.EmbedContentConfig = embedContentConfig; } 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 ced79a0c..6b1b3f35 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 { - /// - /// 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; } + /// + /// Metadata on the usage of the embedding request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class EmbedContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Metadata on the usage of the embedding request. - /// /// /// A list of floats representing an embedding. /// + /// + /// Metadata on the usage of the embedding request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentResponse( - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, - global::Google.Gemini.ContentEmbedding? embedding) + global::Google.Gemini.ContentEmbedding? embedding, + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) { - this.UsageMetadata = usageMetadata; this.Embedding = embedding; + this.UsageMetadata = usageMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs index 5cc6b1fc..5defb2a4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ExecutableCode { + /// + /// Required. The code to be executed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("code")] + public string? Code { get; set; } + /// /// Required. Programming language of the `code`. /// @@ -15,12 +21,6 @@ public sealed partial class ExecutableCode [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter))] public global::Google.Gemini.ExecutableCodeLanguage? Language { get; set; } - /// - /// Required. The code to be executed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public string? Code { get; set; } - /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// @@ -36,12 +36,12 @@ public sealed partial class ExecutableCode /// /// Initializes a new instance of the class. /// - /// - /// Required. Programming language of the `code`. - /// /// /// Required. The code to be executed. /// + /// + /// Required. Programming language of the `code`. + /// /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// @@ -49,12 +49,12 @@ public sealed partial class ExecutableCode [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( - global::Google.Gemini.ExecutableCodeLanguage? language, string? code, + global::Google.Gemini.ExecutableCodeLanguage? language, string? id) { - this.Language = language; this.Code = code; + this.Language = language; this.Id = id; } 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 ba7f8b4a..fa7ac86c 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class File { - /// - /// Output only. SHA-256 hash of the uploaded bytes.
- /// Included only in responses - /// - [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). /// @@ -22,46 +15,44 @@ public sealed partial class File public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
- /// 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" /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { 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.
- /// Included only in responses + /// Source of the File. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] + public global::Google.Gemini.FileSource? Source { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. The uri 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("uri")] + public string? Uri { 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; } /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// /// Output only. MIME type of the file.
@@ -71,37 +62,46 @@ public sealed partial class File public string? MimeType { get; set; } /// - /// Source 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("source")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] - public global::Google.Gemini.FileSource? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// Output only. Processing state of the File.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { get; set; } /// - /// Output only. The uri of the `File`.
+ /// 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; } /// - /// Metadata for a video `File`. + /// Output only. The download uri 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("downloadUri")] + public string? DownloadUri { get; set; } /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { 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` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,90 +112,90 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
- /// 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 timestamp of when the `File` was created.
- /// 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" + /// + /// + /// Source of the File. /// /// /// 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 - /// - /// - /// Output only. Size of the file in bytes.
+ /// + /// Output only. The uri of the `File`.
/// Included only in responses /// - /// - /// Output only. Processing state of the File.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// + /// Metadata for a video `File`. /// /// /// Output only. MIME type of the file.
/// Included only in responses /// - /// - /// Source of the File. + /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// 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 /// - /// - /// Output only. The uri of the `File`.
+ /// + /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Metadata for a video `File`. + /// + /// Output only. The download uri of the `File`.
+ /// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// + /// Output only. Size of the file in bytes.
/// 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` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - byte[]? sha256Hash, global::Google.Gemini.Status? error, - string? createTime, - string? updateTime, - string? downloadUri, - string? sizeBytes, - global::Google.Gemini.FileState? state, string? displayName, - string? mimeType, global::Google.Gemini.FileSource? source, - string? name, + string? updateTime, string? uri, + byte[]? sha256Hash, global::Google.Gemini.VideoFileMetadata? videoMetadata, - string? expirationTime) + string? mimeType, + string? expirationTime, + global::Google.Gemini.FileState? state, + string? createTime, + string? downloadUri, + string? sizeBytes, + string? name) { - this.Sha256Hash = sha256Hash; this.Error = error; - this.CreateTime = createTime; - this.UpdateTime = updateTime; - this.DownloadUri = downloadUri; - this.SizeBytes = sizeBytes; - this.State = state; this.DisplayName = displayName; - this.MimeType = mimeType; this.Source = source; - this.Name = name; + this.UpdateTime = updateTime; this.Uri = uri; + this.Sha256Hash = sha256Hash; this.VideoMetadata = videoMetadata; + this.MimeType = mimeType; this.ExpirationTime = expirationTime; + this.State = state; + this.CreateTime = createTime; + this.DownloadUri = downloadUri; + this.SizeBytes = sizeBytes; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs index fc8fdc8c..b879641a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FileData { - /// - /// Required. URI. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileUri")] - public string? FileUri { get; set; } - /// /// Optional. The IANA standard MIME type of the source data. /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Required. URI. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileUri")] + public string? FileUri { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FileData /// /// Initializes a new instance of the class. /// - /// - /// Required. URI. - /// /// /// Optional. The IANA standard MIME type of the source data. /// + /// + /// Required. URI. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileData( - string? fileUri, - string? mimeType) + string? mimeType, + string? fileUri) { - this.FileUri = fileUri; this.MimeType = mimeType; + this.FileUri = fileUri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs index 47ddd26d..9d971733 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// @@ -35,12 +35,12 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// @@ -48,12 +48,12 @@ public sealed partial class FileSearch [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - int? topK, global::System.Collections.Generic.IList? fileSearchStoreNames, + int? topK, string? metadataFilter) { - this.TopK = topK; this.FileSearchStoreNames = fileSearchStoreNames; + this.TopK = topK; this.MetadataFilter = metadataFilter; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index de3045ee..fa67c77b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs @@ -9,24 +9,11 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - - /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } - - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("embeddingModel")] - public string? EmbeddingModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. The Timestamp of when the `FileSearchStore` was created.
@@ -36,10 +23,11 @@ public sealed partial class FileSearchStore public string? CreateTime { 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 number of documents in the `FileSearchStore` that are being processed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { 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`.
@@ -56,18 +44,30 @@ public sealed partial class FileSearchStore public string? ActiveDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embeddingModel")] + public string? EmbeddingModel { get; set; } + + /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,23 +78,17 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// 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 have failed processing.
+ /// + /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. - /// /// /// Output only. The 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" + /// + /// 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`.
@@ -104,37 +98,43 @@ public sealed partial class FileSearchStore /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// + /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? updateTime, - string? failedDocumentsCount, - string? embeddingModel, + string? name, string? createTime, - string? displayName, + string? pendingDocumentsCount, string? sizeBytes, string? activeDocumentsCount, - string? pendingDocumentsCount, - string? name) + string? updateTime, + string? displayName, + string? embeddingModel, + string? failedDocumentsCount) { - this.UpdateTime = updateTime; - this.FailedDocumentsCount = failedDocumentsCount; - this.EmbeddingModel = embeddingModel; + this.Name = name; this.CreateTime = createTime; - this.DisplayName = displayName; + this.PendingDocumentsCount = pendingDocumentsCount; this.SizeBytes = sizeBytes; this.ActiveDocumentsCount = activeDocumentsCount; - this.PendingDocumentsCount = pendingDocumentsCount; - this.Name = name; + this.UpdateTime = updateTime; + this.DisplayName = displayName; + this.EmbeddingModel = embeddingModel; + this.FailedDocumentsCount = failedDocumentsCount; } /// 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 08684a35..bb2b141f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -8,6 +8,18 @@ namespace Google.Gemini /// public sealed partial class FunctionDeclaration { + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } + /// /// Optional. 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`. /// @@ -26,18 +38,6 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { get; set; } - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } - /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// @@ -60,6 +60,12 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// /// /// Optional. 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`. /// @@ -69,12 +75,6 @@ public sealed partial class FunctionDeclaration /// /// Required. A brief description of the function. /// - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. - /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// @@ -85,19 +85,19 @@ public sealed partial class FunctionDeclaration [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( + string? name, + global::Google.Gemini.Schema? parameters, object? parametersJsonSchema, global::Google.Gemini.Schema? response, string? description, - string? name, - global::Google.Gemini.Schema? parameters, global::Google.Gemini.FunctionDeclarationBehavior? behavior, object? responseJsonSchema) { + this.Name = name; + this.Parameters = parameters; this.ParametersJsonSchema = parametersJsonSchema; this.Response = response; this.Description = description; - this.Name = name; - this.Parameters = parameters; this.Behavior = behavior; this.ResponseJsonSchema = responseJsonSchema; } 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 15c3ad8d..e29a4d92 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -9,10 +9,17 @@ namespace Google.Gemini public sealed partial class FunctionResponse { /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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; } /// /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. Multimedia can be included by using a subobject containing a single "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. @@ -21,16 +28,16 @@ public sealed partial class FunctionResponse public object? Response { get; set; } /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. @@ -38,13 +45,6 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] public bool? WillContinue { get; set; } - /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] - public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -54,41 +54,41 @@ public sealed partial class FunctionResponse /// /// Initializes a new instance of the class. /// - /// - /// 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. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// /// /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. Multimedia can be included by using a subobject containing a single "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. /// + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// /// /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// /// /// Optional. 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( - string? id, + string? name, + global::Google.Gemini.FunctionResponseScheduling? scheduling, object? response, + string? id, global::System.Collections.Generic.IList? parts, - string? name, - bool? willContinue, - global::Google.Gemini.FunctionResponseScheduling? scheduling) + bool? willContinue) { - this.Id = id; + this.Name = name; + this.Scheduling = scheduling; this.Response = response; + this.Id = id; this.Parts = parts; - this.Name = name; this.WillContinue = willContinue; - 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 d15995d1..c99988ac 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs @@ -9,30 +9,10 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - - /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// /// Output only. The state of the batch.
@@ -43,10 +23,11 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// - /// Configures the input to the batch request. + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. @@ -55,23 +36,24 @@ public sealed partial class GenerateContentBatch public string? Priority { get; set; } /// - /// Stats about the batch. + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// Output only. The time at which the batch was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// /// Output only. The time at which the batch processing completed.
@@ -80,6 +62,24 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] public string? EndTime { 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; } + + /// + /// Required. The user-defined name of this batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -89,71 +89,71 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - /// - /// 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. /// /// /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// Configures the input to the batch request. + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Stats about the batch. - /// - /// - /// 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}`.
/// Included only in responses /// + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + /// + /// Stats about the batch. + /// /// /// Output only. The time at which the batch processing completed.
/// Included only in responses /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// Configures the input to the batch request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? updateTime, - string? model, - string? createTime, - string? displayName, + global::Google.Gemini.GenerateContentBatchOutput? output, global::Google.Gemini.GenerateContentBatchState? state, - global::Google.Gemini.InputConfig? inputConfig, + string? updateTime, string? priority, - global::Google.Gemini.BatchStats? batchStats, - global::Google.Gemini.GenerateContentBatchOutput? output, string? name, - string? endTime) + string? createTime, + global::Google.Gemini.BatchStats? batchStats, + string? endTime, + string? model, + string? displayName, + global::Google.Gemini.InputConfig? inputConfig) { - this.UpdateTime = updateTime; - this.Model = model; - this.CreateTime = createTime; - this.DisplayName = displayName; + this.Output = output; this.State = state; - this.InputConfig = inputConfig; + this.UpdateTime = updateTime; this.Priority = priority; - this.BatchStats = batchStats; - this.Output = output; this.Name = name; + this.CreateTime = createTime; + this.BatchStats = batchStats; this.EndTime = endTime; + this.Model = model; + this.DisplayName = displayName; + 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 5e8c19c2..2fea1526 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -9,22 +9,22 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// 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; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -33,23 +33,16 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } /// - /// Optional. The service tier of the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] - public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } - - /// - /// Optional. 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("store")] - public bool? Store { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { 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. 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("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { get; set; } /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -58,10 +51,10 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// 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("cachedContent")] - public string? CachedContent { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { get; set; } /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. @@ -69,6 +62,13 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] public global::System.Collections.Generic.IList? SafetySettings { get; set; } + /// + /// Optional. The service tier of the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] + public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } + /// /// 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. /// + /// + /// 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 base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// + /// 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. /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// 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. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// + /// + /// Optional. The service tier of the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - string? model, - global::Google.Gemini.Content? systemInstruction, global::System.Collections.Generic.IList? contents, - global::Google.Gemini.GenerationConfig? generationConfig, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - bool? store, + string? model, global::System.Collections.Generic.IList? tools, - global::Google.Gemini.ToolConfig? toolConfig, + global::Google.Gemini.GenerationConfig? generationConfig, + global::Google.Gemini.Content? systemInstruction, string? cachedContent, - global::System.Collections.Generic.IList? safetySettings) + global::Google.Gemini.ToolConfig? toolConfig, + bool? store, + global::System.Collections.Generic.IList? safetySettings, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier) { - this.Model = model; - this.SystemInstruction = systemInstruction; this.Contents = contents; - this.GenerationConfig = generationConfig; - this.ServiceTier = serviceTier; - this.Store = store; + this.Model = model; this.Tools = tools; - this.ToolConfig = toolConfig; + this.GenerationConfig = generationConfig; + this.SystemInstruction = systemInstruction; this.CachedContent = cachedContent; + this.ToolConfig = toolConfig; + this.Store = store; this.SafetySettings = safetySettings; + this.ServiceTier = serviceTier; } /// 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 5478e12f..2f0e9994 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs @@ -9,10 +9,17 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// Candidate responses from the model. + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { get; set; } + + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. @@ -34,17 +41,10 @@ public sealed partial class GenerateContentResponse public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } /// - /// Output only. The model version used to generate the response.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] - public string? ModelVersion { get; set; } - - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// Candidate responses from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -55,8 +55,12 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Candidate responses from the model. + /// + /// Output only. The model version used to generate the response.
+ /// Included only in responses + /// + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. @@ -68,30 +72,26 @@ public sealed partial class GenerateContentResponse /// /// Metadata on the generation request's token usage. /// - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses - /// - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// + /// Candidate responses from the model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::System.Collections.Generic.IList? candidates, + string? modelVersion, + global::Google.Gemini.ModelStatus? modelStatus, global::Google.Gemini.PromptFeedback? promptFeedback, string? responseId, global::Google.Gemini.UsageMetadata? usageMetadata, - string? modelVersion, - global::Google.Gemini.ModelStatus? modelStatus) + global::System.Collections.Generic.IList? candidates) { - this.Candidates = candidates; + this.ModelVersion = modelVersion; + this.ModelStatus = modelStatus; this.PromptFeedback = promptFeedback; this.ResponseId = responseId; this.UsageMetadata = usageMetadata; - this.ModelVersion = modelVersion; - this.ModelStatus = modelStatus; + this.Candidates = candidates; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs index 2c89d452..a2ed91a5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GeneratedFile { + /// + /// MIME type of the generatedFile. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { 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). /// @@ -28,12 +34,6 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] public global::Google.Gemini.GeneratedFileState? State { get; set; } - /// - /// MIME type of the generatedFile. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,6 +43,9 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// + /// + /// MIME type of the generatedFile. + /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// @@ -53,22 +56,19 @@ public sealed partial class GeneratedFile /// Output only. The state of the GeneratedFile.
/// Included only in responses /// - /// - /// MIME type of the generatedFile. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( + string? mimeType, global::Google.Gemini.Status? error, string? name, - global::Google.Gemini.GeneratedFileState? state, - string? mimeType) + global::Google.Gemini.GeneratedFileState? state) { + this.MimeType = mimeType; this.Error = error; this.Name = name; this.State = state; - this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index a2ea8fd7..b6915fea 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 @@ -9,82 +9,76 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// 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. 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. 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("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// - /// Config for thinking features. + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { 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. 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. 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("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { 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. Enables enhanced civic answers. It may not be available for all models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { 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. + /// Config for translation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] + public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Config for translation features. + /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] - public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] + public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// 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("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { get; set; } /// /// Optional. If specified, the media resolution specified will be used. @@ -94,52 +88,58 @@ public sealed partial class GenerationConfig public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// 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("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } /// - /// Config for image generation features. + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { 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. 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// - /// Config for speech generation and transcription. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// Optional. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { 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. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] - public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } + + /// + /// Config for speech generation and transcription. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. - /// - /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. - /// - /// - /// 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. 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 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. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. 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. 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. If true, export the logprobs results in response. + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// /// /// Config for translation features. /// - /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// + /// Config for thinking features. /// - /// - /// Optional. If specified, the media resolution specified will be used. + /// + /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. + /// + /// + /// 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. Seed used in decoding. If not set, the request uses a randomly generated seed. /// + /// + /// Optional. If specified, the media resolution specified will be used. + /// + /// + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// + /// + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// + /// Optional. If true, export the logprobs results in response. + /// /// /// 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. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// /// /// Config for speech generation and transcription. /// - /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. - /// - /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. - /// - /// - /// Optional. 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. - /// - /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( + float? presencePenalty, + int? maxOutputTokens, + global::Google.Gemini.Schema? responseSchema, + float? frequencyPenalty, + bool? enableEnhancedCivicAnswers, + global::System.Collections.Generic.IList? stopSequences, + global::Google.Gemini.TranslationConfig? translationConfig, global::System.Collections.Generic.IList? responseModalities, - int? logprobs, global::Google.Gemini.ThinkingConfig? thinkingConfig, + global::Google.Gemini.ResponseFormatConfig? responseFormat, + float? topP, + int? seed, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, int? candidateCount, - global::System.Collections.Generic.IList? stopSequences, - global::Google.Gemini.Schema? responseSchema, + float? temperature, + int? logprobs, object? responseJsonSchema, - float? presencePenalty, bool? responseLogprobs, - float? temperature, - global::Google.Gemini.TranslationConfig? translationConfig, - bool? enableEnhancedCivicAnswers, - string? responseMimeType, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - int? seed, global::Google.Gemini.ImageConfig? imageConfig, int? topK, - global::Google.Gemini.SpeechConfig? speechConfig, - float? frequencyPenalty, - int? maxOutputTokens, - float? topP, - global::Google.Gemini.ResponseFormatConfig? responseFormat) + string? responseMimeType, + global::Google.Gemini.SpeechConfig? speechConfig) { + this.PresencePenalty = presencePenalty; + this.MaxOutputTokens = maxOutputTokens; + this.ResponseSchema = responseSchema; + this.FrequencyPenalty = frequencyPenalty; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.StopSequences = stopSequences; + this.TranslationConfig = translationConfig; this.ResponseModalities = responseModalities; - this.Logprobs = logprobs; this.ThinkingConfig = thinkingConfig; + this.ResponseFormat = responseFormat; + this.TopP = topP; + this.Seed = seed; + this.MediaResolution = mediaResolution; this.CandidateCount = candidateCount; - this.StopSequences = stopSequences; - this.ResponseSchema = responseSchema; + this.Temperature = temperature; + this.Logprobs = logprobs; this.ResponseJsonSchema = responseJsonSchema; - this.PresencePenalty = presencePenalty; this.ResponseLogprobs = responseLogprobs; - this.Temperature = temperature; - this.TranslationConfig = translationConfig; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.ResponseMimeType = responseMimeType; - this.MediaResolution = mediaResolution; - this.Seed = seed; this.ImageConfig = imageConfig; this.TopK = topK; + this.ResponseMimeType = responseMimeType; this.SpeechConfig = speechConfig; - this.FrequencyPenalty = frequencyPenalty; - this.MaxOutputTokens = maxOutputTokens; - this.TopP = topP; - this.ResponseFormat = responseFormat; } /// 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 27dcef9e..1fd716a3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -9,16 +9,17 @@ namespace Google.Gemini public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { /// - /// Segment of the content. + /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("segment")] - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] + public global::System.Collections.Generic.IList? RenderedParts { get; set; } /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// Segment of the content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] - public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("segment")] + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). @@ -27,11 +28,10 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport 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 + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// - [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] - public global::System.Collections.Generic.IList? RenderedParts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] + public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -42,32 +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 + /// /// /// 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 + /// + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( + global::System.Collections.Generic.IList? renderedParts, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, - global::System.Collections.Generic.IList? confidenceScores, global::System.Collections.Generic.IList? groundingChunkIndices, - global::System.Collections.Generic.IList? renderedParts) + global::System.Collections.Generic.IList? confidenceScores) { + this.RenderedParts = renderedParts; this.Segment = segment; - this.ConfidenceScores = confidenceScores; this.GroundingChunkIndices = groundingChunkIndices; - this.RenderedParts = renderedParts; + this.ConfidenceScores = confidenceScores; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index bef2651f..98615ea6 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 @@ -14,6 +14,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] public int? PartIndex { get; set; } + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// @@ -26,12 +32,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { 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 /// @@ -44,28 +44,28 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// The index of a Part object within its parent Content object. /// + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. + /// /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// /// /// The text corresponding to the segment from the response. /// - /// - /// 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? partIndex, + int? endIndex, int? startIndex, - string? text, - int? endIndex) + string? text) { this.PartIndex = partIndex; + this.EndIndex = endIndex; this.StartIndex = startIndex; this.Text = text; - this.EndIndex = endIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs index 77459271..0a8a9230 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GroundingChunk { - /// - /// Chunk from image search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.Image? Image { get; set; } - /// /// Chunk from the web. /// [global::System.Text.Json.Serialization.JsonPropertyName("web")] public global::Google.Gemini.Web? Web { get; set; } + /// + /// Chunk from 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. /// @@ -41,12 +41,12 @@ public sealed partial class GroundingChunk /// /// Initializes a new instance of the class. /// - /// - /// Chunk from image search. - /// /// /// Chunk from the web. /// + /// + /// Chunk from image search. + /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// @@ -57,13 +57,13 @@ public sealed partial class GroundingChunk [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.Image? image, global::Google.Gemini.Web? web, + global::Google.Gemini.Image? image, global::Google.Gemini.Maps? maps, global::Google.Gemini.RetrievedContext? retrievedContext) { - this.Image = image; this.Web = web; + this.Image = image; this.Maps = maps; this.RetrievedContext = retrievedContext; } 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 b10a2039..4100ca37 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GroundingChunkCustomMetadata { + /// + /// Optional. The string value of the metadata. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } + /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// @@ -20,12 +26,6 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } - /// - /// Optional. The string value of the metadata. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } - /// /// A list of string values. /// @@ -41,15 +41,15 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// + /// + /// 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 string value of the metadata. - /// /// /// A list of string values. /// @@ -57,14 +57,14 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( + string? stringValue, float? numericValue, string? key, - string? stringValue, global::Google.Gemini.GroundingChunkStringList? stringListValue) { + this.StringValue = stringValue; this.NumericValue = numericValue; this.Key = key; - this.StringValue = stringValue; this.StringListValue = stringListValue; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs index c459b77d..6f0435aa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -9,16 +9,22 @@ namespace Google.Gemini public sealed partial class GroundingMetadata { /// - /// Google search entry point. + /// Web search queries for the following-up web search. /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] + public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } /// - /// List of grounding support. + /// Metadata related to retrieval in the grounding flow. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] + public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] + public string? GoogleMapsWidgetContextToken { get; set; } /// /// Image search queries used for grounding. @@ -33,22 +39,16 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? GroundingChunks { 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; } - - /// - /// Web search queries for the following-up web search. + /// Google search entry point. /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// List of grounding support. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,11 +59,14 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// Google search entry point. + /// + /// Web search queries for the following-up web search. /// - /// - /// List of grounding support. + /// + /// Metadata related to retrieval in the grounding flow. + /// + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// /// /// Image search queries used for grounding. @@ -71,34 +74,31 @@ public sealed partial class GroundingMetadata /// /// 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. /// - /// - /// Metadata related to retrieval in the grounding flow. - /// - /// - /// Web search queries for the following-up web search. + /// + /// Google search entry point. /// - /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// + /// List of grounding support. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - global::System.Collections.Generic.IList? groundingSupports, + global::System.Collections.Generic.IList? webSearchQueries, + global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + string? googleMapsWidgetContextToken, global::System.Collections.Generic.IList? imageSearchQueries, global::System.Collections.Generic.IList? groundingChunks, - global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::System.Collections.Generic.IList? webSearchQueries, - string? googleMapsWidgetContextToken) + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + global::System.Collections.Generic.IList? groundingSupports) { - this.SearchEntryPoint = searchEntryPoint; - this.GroundingSupports = groundingSupports; - this.ImageSearchQueries = imageSearchQueries; - this.GroundingChunks = groundingChunks; - this.RetrievalMetadata = retrievalMetadata; this.WebSearchQueries = webSearchQueries; + this.RetrievalMetadata = retrievalMetadata; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; + this.ImageSearchQueries = imageSearchQueries; + this.GroundingChunks = groundingChunks; + this.SearchEntryPoint = searchEntryPoint; + this.GroundingSupports = groundingSupports; } /// 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 d3e86773..dea3592a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Hyperparameters { /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] + public float? LearningRate { get; set; } /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. @@ -21,16 +21,16 @@ public sealed partial class Hyperparameters public int? EpochCount { get; set; } /// - /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. + /// Optional. Immutable. The learning rate 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("batchSize")] - public int? BatchSize { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] + public int? BatchSize { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// /// /// Immutable. The 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. + /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - float? learningRateMultiplier, + float? learningRate, int? epochCount, - int? batchSize, - float? learningRate) + float? learningRateMultiplier, + int? batchSize) { - this.LearningRateMultiplier = learningRateMultiplier; + this.LearningRate = learningRate; this.EpochCount = epochCount; + this.LearningRateMultiplier = learningRateMultiplier; this.BatchSize = batchSize; - this.LearningRate = learningRate; } /// 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 1d34f5b3..242f184c 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 root domain of the web page that the image is from, e.g. "example.com". - /// - [global::System.Text.Json.Serialization.JsonPropertyName("domain")] - public string? Domain { get; set; } - /// /// The web page URI for attribution. /// @@ -26,6 +20,12 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// The root domain of the web page that the image is from, e.g. "example.com". + /// + [global::System.Text.Json.Serialization.JsonPropertyName("domain")] + public string? Domain { get; set; } + /// /// The image asset URL. /// @@ -41,15 +41,15 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// - /// - /// The root domain of the web page that the image is from, e.g. "example.com". - /// /// /// The web page URI for attribution. /// /// /// The title of the web page that the image is from. /// + /// + /// The root domain of the web page that the image is from, e.g. "example.com". + /// /// /// The image asset URL. /// @@ -57,14 +57,14 @@ public sealed partial class Image [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? domain, string? sourceUri, string? title, + string? domain, string? imageUri) { - this.Domain = domain; this.SourceUri = sourceUri; this.Title = title; + this.Domain = domain; this.ImageUri = imageUri; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs index 74d28190..7dba850b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class ImageResponseFormat { + /// + /// Optional. The delivery mode for the image output. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("delivery")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter))] + public global::Google.Gemini.ImageResponseFormatDelivery? Delivery { get; set; } + /// /// Optional. The MIME type of the image output. /// @@ -29,13 +36,6 @@ public sealed partial class ImageResponseFormat [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter))] public global::Google.Gemini.ImageResponseFormatImageSize? ImageSize { get; set; } - /// - /// Optional. The delivery mode for the image output. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("delivery")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter))] - public global::Google.Gemini.ImageResponseFormatDelivery? Delivery { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,6 +45,9 @@ public sealed partial class ImageResponseFormat /// /// Initializes a new instance of the class. /// + /// + /// Optional. The delivery mode for the image output. + /// /// /// Optional. The MIME type of the image output. /// @@ -54,22 +57,19 @@ public sealed partial class ImageResponseFormat /// /// Optional. The size of the image output. /// - /// - /// Optional. The delivery mode for the image output. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageResponseFormat( + global::Google.Gemini.ImageResponseFormatDelivery? delivery, global::Google.Gemini.ImageResponseFormatMimeType? mimeType, global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio, - global::Google.Gemini.ImageResponseFormatImageSize? imageSize, - global::Google.Gemini.ImageResponseFormatDelivery? delivery) + global::Google.Gemini.ImageResponseFormatImageSize? imageSize) { + this.Delivery = delivery; this.MimeType = mimeType; this.AspectRatio = aspectRatio; this.ImageSize = imageSize; - this.Delivery = delivery; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 4f2df00f..99504f17 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ImportFileRequest { - /// - /// Custom metadata to be associated with the file. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -26,6 +20,12 @@ public sealed partial class ImportFileRequest [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] public string? FileName { get; set; } + /// + /// Custom metadata to be associated with the file. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// - /// - /// Custom metadata to be associated with the file. - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Required. The name of the `File` to import. Example: `files/abc-123` /// + /// + /// Custom metadata to be associated with the file. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( - global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.ChunkingConfig? chunkingConfig, - string? fileName) + string? fileName, + global::System.Collections.Generic.IList? customMetadata) { - this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; this.FileName = fileName; + this.CustomMetadata = customMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index c4006720..3217b11a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentResponse { - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// The response to an `EmbedContentRequest`. /// [global::System.Text.Json.Serialization.JsonPropertyName("response")] public global::Google.Gemini.EmbedContentResponse? Response { get; set; } + /// + /// 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 InlinedEmbedContentResponse /// /// 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). - /// /// /// 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 @@ -50,12 +50,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( - global::Google.Gemini.Status? error, global::Google.Gemini.EmbedContentResponse? 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.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index f3ca3ee4..8b0a0b22 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 @@ -14,12 +14,6 @@ public sealed partial class InlinedResponse [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; } - /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -27,6 +21,12 @@ public sealed partial class InlinedResponse [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,24 +39,24 @@ public sealed partial class InlinedResponse /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. - /// /// /// Output only. The metadata associated with the request.
/// Included only in responses /// + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( global::Google.Gemini.Status? error, - global::Google.Gemini.GenerateContentResponse? response, - object? metadata) + object? metadata, + global::Google.Gemini.GenerateContentResponse? response) { this.Error = error; - this.Response = response; this.Metadata = metadata; + this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs index 736a29fe..3d0f91ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputConfig { - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("requests")] - public global::Google.Gemini.InlinedRequests? Requests { get; set; } - /// /// The name of the `File` containing the input requests. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] public string? FileName { get; set; } + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("requests")] + public global::Google.Gemini.InlinedRequests? Requests { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputConfig /// /// Initializes a new instance of the class. /// - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// /// /// The name of the `File` containing the input requests. /// + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputConfig( - global::Google.Gemini.InlinedRequests? requests, - string? fileName) + string? fileName, + global::Google.Gemini.InlinedRequests? requests) { - this.Requests = requests; this.FileName = fileName; + this.Requests = requests; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs index 8c9f6ab6..9a1d2d1e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LatLng { - /// - /// The latitude in degrees. It must be in the range [-90.0, +90.0]. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("latitude")] - public double? Latitude { get; set; } - /// /// The longitude in degrees. It must be in the range [-180.0, +180.0]. /// [global::System.Text.Json.Serialization.JsonPropertyName("longitude")] public double? Longitude { get; set; } + /// + /// The latitude in degrees. It must be in the range [-90.0, +90.0]. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("latitude")] + public double? Latitude { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class LatLng /// /// Initializes a new instance of the class. /// - /// - /// The latitude in degrees. It must be in the range [-90.0, +90.0]. - /// /// /// The longitude in degrees. It must be in the range [-180.0, +180.0]. /// + /// + /// The latitude in degrees. It must be in the range [-90.0, +90.0]. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LatLng( - double? latitude, - double? longitude) + double? longitude, + double? latitude) { - this.Latitude = latitude; this.Longitude = longitude; + this.Latitude = latitude; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index 6dfb4ee0..06dc9344 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 6a5dbdc2..7bff6270 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCorporaResponse { - /// - /// The returned corpora. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("corpora")] - public global::System.Collections.Generic.IList? Corpora { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The returned corpora. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("corpora")] + public global::System.Collections.Generic.IList? Corpora { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCorporaResponse /// /// Initializes a new instance of the class. /// - /// - /// The returned corpora. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// The returned corpora. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCorporaResponse( - global::System.Collections.Generic.IList? corpora, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? corpora) { - this.Corpora = corpora; this.NextPageToken = nextPageToken; + this.Corpora = corpora; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index 9f0d9512..1c44b2be 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListOperationsResponse { - /// - /// A list of operations that matches the specified filter in the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("operations")] - public global::System.Collections.Generic.IList? Operations { get; set; } - /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] public global::System.Collections.Generic.IList? Unreachable { get; set; } + /// + /// A list of operations that matches the specified filter in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("operations")] + public global::System.Collections.Generic.IList? Operations { get; set; } + /// /// The standard List next-page token. /// @@ -35,12 +35,12 @@ public sealed partial class ListOperationsResponse /// /// Initializes a new instance of the class. /// - /// - /// A list of operations that matches the specified filter in the request. - /// /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// + /// + /// A list of operations that matches the specified filter in the request. + /// /// /// The standard List next-page token. /// @@ -48,12 +48,12 @@ public sealed partial class ListOperationsResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( - global::System.Collections.Generic.IList? operations, global::System.Collections.Generic.IList? unreachable, + global::System.Collections.Generic.IList? operations, string? nextPageToken) { - this.Operations = operations; this.Unreachable = unreachable; + this.Operations = operations; this.NextPageToken = nextPageToken; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs index 800f4e39..fb6d6f43 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListPermissionsResponse { - /// - /// Returned permissions. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("permissions")] - public global::System.Collections.Generic.IList? Permissions { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// Returned permissions. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("permissions")] + public global::System.Collections.Generic.IList? Permissions { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListPermissionsResponse /// /// Initializes a new instance of the class. /// - /// - /// Returned permissions. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// Returned permissions. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListPermissionsResponse( - global::System.Collections.Generic.IList? permissions, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? permissions) { - this.Permissions = permissions; this.NextPageToken = nextPageToken; + this.Permissions = permissions; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs index 920b8335..3c572fa7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListTunedModelsResponse { - /// - /// The returned Models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModels")] - public global::System.Collections.Generic.IList? TunedModels { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The returned Models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModels")] + public global::System.Collections.Generic.IList? TunedModels { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListTunedModelsResponse /// /// Initializes a new instance of the class. /// - /// - /// The returned Models. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// The returned Models. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListTunedModelsResponse( - global::System.Collections.Generic.IList? tunedModels, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? tunedModels) { - this.TunedModels = tunedModels; this.NextPageToken = nextPageToken; + this.TunedModels = tunedModels; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index 30d9cd80..ef37df84 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs @@ -14,18 +14,18 @@ public sealed partial class LogprobsResult [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] public global::System.Collections.Generic.IList? TopCandidates { get; set; } - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] - public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } - /// /// Sum of log probabilities for all tokens. /// [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] public float? LogProbabilitySum { get; set; } + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] + public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class LogprobsResult /// /// Length = total number of decoding steps. /// - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// /// /// Sum of log probabilities for all tokens. /// + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( global::System.Collections.Generic.IList? topCandidates, - global::System.Collections.Generic.IList? chosenCandidates, - float? logProbabilitySum) + float? logProbabilitySum, + global::System.Collections.Generic.IList? chosenCandidates) { this.TopCandidates = topCandidates; - this.ChosenCandidates = chosenCandidates; this.LogProbabilitySum = logProbabilitySum; + this.ChosenCandidates = chosenCandidates; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 6154061d..c4f9fa4f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class LogprobsResultCandidate { - /// - /// The candidate’s token id value. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] - public int? TokenId { get; set; } - /// /// The candidate's log probability. /// @@ -26,6 +20,12 @@ public sealed partial class LogprobsResultCandidate [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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate’s token id value. - /// /// /// The candidate's log probability. /// /// /// The candidate’s token string value. /// + /// + /// The candidate’s token id value. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - int? tokenId, float? logProbability, - string? token) + string? token, + int? tokenId) { - this.TokenId = tokenId; this.LogProbability = logProbability; this.Token = token; + this.TokenId = tokenId; } /// 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 46238aff..7dad6df5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs @@ -15,10 +15,10 @@ public sealed partial class Maps public string? Text { 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. + /// URI reference of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Title of the place. @@ -26,18 +26,18 @@ public sealed partial class Maps [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } - /// - /// URI reference of the place. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } - /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] public string? PlaceId { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -50,33 +50,33 @@ public sealed partial class Maps /// /// 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. + /// + /// URI reference of the place. /// /// /// Title of the place. /// - /// - /// 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. /// + /// + /// 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? text, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, - string? title, string? uri, - string? placeId) + string? title, + string? placeId, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { this.Text = text; - this.PlaceAnswerSources = placeAnswerSources; - this.Title = title; this.Uri = uri; + this.Title = title; this.PlaceId = placeId; + 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 197f4054..c294428e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class McpServer { - /// - /// The name of the MCPServer. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } + /// + /// The name of the MCPServer. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class McpServer /// /// Initializes a new instance of the class. /// - /// - /// The name of the MCPServer. - /// /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// + /// + /// The name of the MCPServer. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public McpServer( - string? name, - global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport) + global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport, + string? name) { - this.Name = name; this.StreamableHttpTransport = streamableHttpTransport; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs index 254db292..080d5ec5 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 @@ -9,34 +9,28 @@ namespace Google.Gemini public sealed partial class 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { 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` + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { 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 model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// 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("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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. + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) @@ -45,16 +39,16 @@ public sealed partial class Model public string? Version { get; set; } /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// 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("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { 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. + /// 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("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// /// Whether the model supports thinking. @@ -62,18 +56,24 @@ public sealed partial class Model [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] public bool? Thinking { get; set; } - /// - /// Maximum number of input tokens allowed for this model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } - /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] public string? BaseModelId { get; set; } + /// + /// Maximum number of output tokens available for this model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } + /// /// A short description of the model. /// @@ -81,10 +81,10 @@ public sealed partial class Model public string? Description { 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; } /// /// 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. /// - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + /// The maximum temperature this model can use. + /// + /// + /// 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` /// - /// - /// Maximum number of output tokens available for this model. - /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. - /// - /// - /// 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. + /// + /// Maximum number of input tokens allowed for this model. /// /// /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + /// 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 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 model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// /// /// Whether the model supports thinking. /// - /// - /// Maximum number of input tokens allowed for this model. - /// /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// + /// + /// Maximum number of output tokens available 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. + /// /// /// A short description of the model. /// - /// - /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - float? temperature, + float? maxTemperature, + int? topK, string? name, - int? outputTokenLimit, - global::System.Collections.Generic.IList? supportedGenerationMethods, - string? displayName, + int? inputTokenLimit, string? version, - float? topP, - int? topK, + float? temperature, + global::System.Collections.Generic.IList? supportedGenerationMethods, bool? thinking, - int? inputTokenLimit, string? baseModelId, + int? outputTokenLimit, + float? topP, string? description, - float? maxTemperature) + string? displayName) { - this.Temperature = temperature; + this.MaxTemperature = maxTemperature; + this.TopK = topK; this.Name = name; - this.OutputTokenLimit = outputTokenLimit; - this.SupportedGenerationMethods = supportedGenerationMethods; - this.DisplayName = displayName; + this.InputTokenLimit = inputTokenLimit; this.Version = version; - this.TopP = topP; - this.TopK = topK; + this.Temperature = temperature; + this.SupportedGenerationMethods = supportedGenerationMethods; this.Thinking = thinking; - this.InputTokenLimit = inputTokenLimit; this.BaseModelId = baseModelId; + this.OutputTokenLimit = outputTokenLimit; + this.TopP = topP; this.Description = description; - this.MaxTemperature = maxTemperature; + this.DisplayName = displayName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs index 75612d76..a5f7bfcd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { + /// + /// A message explaining the model status. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// The stage of the underlying model. /// @@ -21,12 +27,6 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] public string? RetirementTime { get; set; } - /// - /// A message explaining the model status. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// + /// + /// A message explaining the model status. + /// /// /// The stage of the underlying model. /// /// /// The time at which the model will be retired. /// - /// - /// A message explaining the model status. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( + string? message, global::Google.Gemini.ModelStatusModelStage? modelStage, - string? retirementTime, - string? message) + string? retirementTime) { + this.Message = message; this.ModelStage = modelStage; this.RetirementTime = retirementTime; - this.Message = message; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index 76c27ff1..dc3e8f3d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -8,6 +8,18 @@ namespace Google.Gemini /// public sealed partial class Operation { + /// + /// The `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; } + + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } + /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// @@ -20,24 +32,12 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// /// /// 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). - /// /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( + global::Google.Gemini.Status? error, + bool? done, object? response, string? name, - global::Google.Gemini.Status? error, - object? metadata, - bool? done) + object? metadata) { + this.Error = error; + this.Done = done; this.Response = response; this.Name = name; - this.Error = error; this.Metadata = metadata; - this.Done = done; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs index cd3bd043..2bbb36b8 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 @@ -11,34 +11,34 @@ namespace Google.Gemini public sealed partial class Part { /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [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. + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// - /// URI based data. + /// 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("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } /// /// 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. @@ -52,12 +52,6 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } - /// - /// Optional. Indicates if the part is thought from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thought")] - public bool? Thought { get; set; } - /// /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. /// @@ -66,16 +60,10 @@ 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { 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`. + /// Optional. Indicates if the part is thought from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thought")] + public bool? Thought { get; set; } /// /// Inline text. @@ -83,12 +71,24 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { 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; } + /// /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -98,21 +98,21 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// + /// + /// URI based data. + /// + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// + /// + /// 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`. + /// /// /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. - /// - /// - /// URI based data. - /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. - /// /// /// 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. /// @@ -122,47 +122,47 @@ public sealed partial class Part /// /// Optional. Indicates if the part is thought from the model. /// - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. - /// - /// - /// 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`. - /// /// /// Inline text. /// + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// /// /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( + global::Google.Gemini.FileData? fileData, + byte[]? thoughtSignature, + global::Google.Gemini.ToolCall? toolCall, global::Google.Gemini.FunctionCall? functionCall, global::Google.Gemini.Blob? inlineData, - object? partMetadata, - global::Google.Gemini.FileData? fileData, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, global::Google.Gemini.FunctionResponse? functionResponse, global::Google.Gemini.ExecutableCode? executableCode, bool? thought, - byte[]? thoughtSignature, - global::Google.Gemini.ToolCall? toolCall, string? text, - global::Google.Gemini.ToolResponse? toolResponse) + object? partMetadata, + global::Google.Gemini.ToolResponse? toolResponse, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult) { + this.FileData = fileData; + this.ThoughtSignature = thoughtSignature; + this.ToolCall = toolCall; this.FunctionCall = functionCall; this.InlineData = inlineData; - this.PartMetadata = partMetadata; - this.FileData = fileData; - this.CodeExecutionResult = codeExecutionResult; this.FunctionResponse = functionResponse; this.ExecutableCode = executableCode; this.Thought = thought; - this.ThoughtSignature = thoughtSignature; - this.ToolCall = toolCall; this.Text = text; + this.PartMetadata = partMetadata; this.ToolResponse = toolResponse; + this.CodeExecutionResult = codeExecutionResult; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs index 5eb818ba..585d2215 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs @@ -8,19 +8,6 @@ namespace Google.Gemini /// public sealed partial class Permission { - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] - public string? EmailAddress { get; set; } - - /// - /// Required. The role granted by this permission. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("role")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] - public global::Google.Gemini.PermissionRole? Role { get; set; } - /// /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
/// Included only in responses @@ -28,6 +15,12 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } + /// /// Optional. Immutable. The type of the grantee. /// @@ -35,6 +28,13 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } + /// + /// Required. The role granted by this permission. + /// + [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 /// @@ -44,32 +44,32 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// - /// - /// Required. The role granted by this permission. - /// /// /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
/// Included only in responses /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// /// Optional. Immutable. The type of the grantee. /// + /// + /// Required. The role granted by this permission. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? emailAddress, - global::Google.Gemini.PermissionRole? role, string? name, - global::Google.Gemini.PermissionGranteeType? granteeType) + string? emailAddress, + global::Google.Gemini.PermissionGranteeType? granteeType, + global::Google.Gemini.PermissionRole? role) { - this.EmailAddress = emailAddress; - this.Role = role; this.Name = name; + this.EmailAddress = emailAddress; this.GranteeType = granteeType; + 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 fccaca72..08e93e4a 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.ResponseFormatConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs index 2cd3705a..fafacf58 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ResponseFormatConfig { + /// + /// Configuration for audio output format. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("audio")] + public global::Google.Gemini.AudioResponseFormat? Audio { get; set; } + /// /// Configuration for image output format. /// @@ -20,12 +26,6 @@ public sealed partial class ResponseFormatConfig [global::System.Text.Json.Serialization.JsonPropertyName("text")] public global::Google.Gemini.TextResponseFormat? Text { get; set; } - /// - /// Configuration for audio output format. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("audio")] - public global::Google.Gemini.AudioResponseFormat? Audio { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ResponseFormatConfig /// /// Initializes a new instance of the class. /// + /// + /// Configuration for audio output format. + /// /// /// Configuration for image output format. /// /// /// Configuration for text output format. /// - /// - /// Configuration for audio output format. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ResponseFormatConfig( + global::Google.Gemini.AudioResponseFormat? audio, global::Google.Gemini.ImageResponseFormat? image, - global::Google.Gemini.TextResponseFormat? text, - global::Google.Gemini.AudioResponseFormat? audio) + global::Google.Gemini.TextResponseFormat? text) { + this.Audio = audio; this.Image = image; this.Text = text; - this.Audio = audio; } /// 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 b727ae50..f16a7fe4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// Optional. URI reference of the semantic retrieval document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Optional. Title of the document. @@ -27,16 +27,16 @@ public sealed partial class RetrievedContext public string? Title { get; set; } /// - /// Optional. User-provided metadata about the retrieved context. + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } /// - /// Optional. Page number of the retrieved context, if applicable. + /// Optional. User-provided metadata about the retrieved context. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] - public int? PageNumber { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} @@ -45,10 +45,10 @@ public sealed partial class RetrievedContext public string? MediaId { get; set; } /// - /// Optional. Text of the chunk. + /// Optional. Page number of the retrieved context, if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] + public int? PageNumber { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,46 +59,46 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// + /// + /// Optional. Text of the chunk. + /// /// /// Optional. URI reference of the semantic retrieval document. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` - /// /// /// Optional. Title of the document. /// + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// /// /// Optional. User-provided metadata about the retrieved context. /// - /// - /// Optional. Page number of the retrieved context, if applicable. - /// /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// - /// - /// Optional. Text of the chunk. + /// + /// Optional. Page number of the retrieved context, if applicable. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( + string? text, string? uri, - string? fileSearchStore, string? title, + string? fileSearchStore, global::System.Collections.Generic.IList? customMetadata, - int? pageNumber, string? mediaId, - string? text) + int? pageNumber) { + this.Text = text; this.Uri = uri; - this.FileSearchStore = fileSearchStore; this.Title = title; + this.FileSearchStore = fileSearchStore; this.CustomMetadata = customMetadata; - this.PageNumber = pageNumber; this.MediaId = mediaId; - this.Text = text; + this.PageNumber = pageNumber; } /// 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 f4710665..c99fc659 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 @@ -9,29 +9,16 @@ namespace Google.Gemini public sealed partial class 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("items")] - public global::Google.Gemini.Schema? Items { get; set; } - - /// - /// Optional. Maximum number of the elements for Type.ARRAY. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } - - /// - /// Required. Data type. + /// Optional. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("type")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] - public global::Google.Gemini.SchemaType? Type { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// /// Optional. The value should be validated against any (one or more) of the subschemas in the list. @@ -40,28 +27,16 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? AnyOf { 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"]} - /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } - - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING - /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } - - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// /// Optional. The title of the schema. @@ -70,46 +45,47 @@ public sealed partial class Schema public string? Title { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { 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. Example of the object. Will only populated when the object is the root. + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { get; set; } /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. @@ -124,22 +100,46 @@ public sealed partial class Schema public bool? Nullable { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } + + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } + + /// + /// Optional. Example of the object. Will only populated when the object is the root. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } + + /// + /// Optional. Required properties of Type.OBJECT. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { 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"]} + /// + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. - /// - /// - /// Required. Data type. + /// + /// Optional. Minimum number of the elements for Type.ARRAY. /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// /// /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - /// - /// 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 STRING Minimum length of the Type.STRING - /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// Optional. Maximum length of the Type.STRING /// - /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// + /// Optional. Properties of Type.OBJECT. /// /// /// Optional. The title of the schema. /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// + /// Optional. Minimum number of the properties for Type.OBJECT. /// - /// - /// Optional. Required properties of Type.OBJECT. + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Required. Data type. /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + /// + /// Optional. Maximum number of the elements for Type.ARRAY. /// /// /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER - /// /// /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// /// /// Optional. Indicates if the value may be null. /// - /// - /// Optional. Maximum length of the Type.STRING + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// + /// 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. Example of the object. Will only populated when the object is the root. + /// + /// + /// Optional. Required 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"]} /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( + string? minItems, + global::System.Collections.Generic.IList? propertyOrdering, + global::System.Collections.Generic.IList? anyOf, + string? maxLength, + global::System.Collections.Generic.Dictionary? properties, + string? title, global::Google.Gemini.Schema? items, - string? maxItems, + string? minProperties, + string? minLength, global::Google.Gemini.SchemaType? type, + double? minimum, + string? maxItems, + string? maxProperties, + string? description, + bool? nullable, + double? maximum, string? pattern, - global::System.Collections.Generic.IList? anyOf, - global::System.Collections.Generic.IList? @enum, - string? minLength, string? format, object? @default, - string? title, - string? minItems, - global::System.Collections.Generic.IList? propertyOrdering, - global::System.Collections.Generic.IList? required, - double? maximum, object? example, - string? maxProperties, - double? minimum, - string? description, - bool? nullable, - string? maxLength, - string? minProperties, - global::System.Collections.Generic.Dictionary? properties) + global::System.Collections.Generic.IList? required, + global::System.Collections.Generic.IList? @enum) { + this.MinItems = minItems; + this.PropertyOrdering = propertyOrdering; + this.AnyOf = anyOf; + this.MaxLength = maxLength; + this.Properties = properties; + this.Title = title; this.Items = items; - this.MaxItems = maxItems; + this.MinProperties = minProperties; + this.MinLength = minLength; this.Type = type; + this.Minimum = minimum; + this.MaxItems = maxItems; + this.MaxProperties = maxProperties; + this.Description = description; + this.Nullable = nullable; + this.Maximum = maximum; this.Pattern = pattern; - this.AnyOf = anyOf; - this.Enum = @enum; - this.MinLength = minLength; this.Format = format; this.Default = @default; - this.Title = title; - this.MinItems = minItems; - this.PropertyOrdering = propertyOrdering; - this.Required = required; - this.Maximum = maximum; this.Example = example; - this.MaxProperties = maxProperties; - this.Minimum = minimum; - this.Description = description; - this.Nullable = nullable; - this.MaxLength = maxLength; - this.MinProperties = minProperties; - this.Properties = properties; + this.Required = required; + this.Enum = @enum; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs index 22a069a1..c68b5741 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SearchEntryPoint { - /// - /// Optional. Base64 encoded JSON representing array of tuple. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sdkBlob")] - public byte[]? SdkBlob { get; set; } - /// /// Optional. Web content snippet that can be embedded in a web page or an app webview. /// [global::System.Text.Json.Serialization.JsonPropertyName("renderedContent")] public string? RenderedContent { get; set; } + /// + /// Optional. Base64 encoded JSON representing array of tuple. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sdkBlob")] + public byte[]? SdkBlob { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SearchEntryPoint /// /// Initializes a new instance of the class. /// - /// - /// Optional. Base64 encoded JSON representing array of tuple. - /// /// /// Optional. Web content snippet that can be embedded in a web page or an app webview. /// + /// + /// Optional. Base64 encoded JSON representing array of tuple. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchEntryPoint( - byte[]? sdkBlob, - string? renderedContent) + string? renderedContent, + byte[]? sdkBlob) { - this.SdkBlob = sdkBlob; this.RenderedContent = renderedContent; + this.SdkBlob = sdkBlob; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs index f9754c22..0a6833b4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeakerVoiceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SpeakerVoiceConfig { - /// - /// The configuration for the voice to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// /// Required. The name of the speaker to use. Should be the same as in the prompt. /// [global::System.Text.Json.Serialization.JsonPropertyName("speaker")] public string? Speaker { get; set; } + /// + /// The configuration for the voice to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SpeakerVoiceConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the voice to use. - /// /// /// Required. The name of the speaker to use. Should be the same as in the prompt. /// + /// + /// The configuration for the voice to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeakerVoiceConfig( - global::Google.Gemini.VoiceConfig? voiceConfig, - string? speaker) + string? speaker, + global::Google.Gemini.VoiceConfig? voiceConfig) { - this.VoiceConfig = voiceConfig; this.Speaker = speaker; + this.VoiceConfig = voiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index 4d41ca9d..cc31a307 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class SpeechConfig { /// - /// The configuration for the voice to use. + /// 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] + public string? LanguageCode { get; set; } /// /// The configuration for the multi-speaker setup. @@ -21,10 +21,10 @@ public sealed partial class SpeechConfig 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`. + /// The configuration for the voice to use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] - public string? LanguageCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the voice to use. + /// + /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// /// /// The configuration for the multi-speaker setup. /// - /// - /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. + /// + /// The configuration for the voice to use. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( - global::Google.Gemini.VoiceConfig? voiceConfig, + string? languageCode, global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, - string? languageCode) + global::Google.Gemini.VoiceConfig? voiceConfig) { - this.VoiceConfig = voiceConfig; - this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; this.LanguageCode = languageCode; + this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; + this.VoiceConfig = voiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index d40cd9d8..3b58e292 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 @@ -14,18 +14,18 @@ public sealed partial class Status [global::System.Text.Json.Serialization.JsonPropertyName("code")] public int? Code { get; set; } - /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. - /// - [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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class Status /// /// The status code, which should be an enum value of google.rpc.Code. /// - /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. - /// /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( int? code, - string? message, - global::System.Collections.Generic.IList? details) + global::System.Collections.Generic.IList? details, + string? message) { this.Code = code; - this.Message = message; this.Details = details; + this.Message = message; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index c768ba76..1b6e6ee4 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 @@ -8,24 +8,12 @@ namespace Google.Gemini /// public sealed partial class StreamableHttpTransport { - /// - /// 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; } - /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("url")] - public string? Url { get; set; } - /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// @@ -38,6 +26,18 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] public string? SseReadTimeout { get; set; } + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("url")] + public string? Url { get; set; } + + /// + /// HTTP timeout for regular operations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] + public string? Timeout { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class StreamableHttpTransport /// /// Initializes a new instance of the class. /// - /// - /// HTTP timeout for regular operations. - /// /// /// Whether to close the client session when the transport closes. /// - /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" - /// /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// /// /// Timeout for SSE read operations. /// + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// + /// + /// HTTP timeout for regular operations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - string? timeout, bool? terminateOnClose, - string? url, global::System.Collections.Generic.Dictionary? headers, - string? sseReadTimeout) + string? sseReadTimeout, + string? url, + string? timeout) { - this.Timeout = timeout; this.TerminateOnClose = terminateOnClose; - this.Url = url; this.Headers = headers; this.SseReadTimeout = sseReadTimeout; + this.Url = url; + this.Timeout = timeout; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TextResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TextResponseFormat.g.cs index e98438a9..d13926d0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TextResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TextResponseFormat.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class TextResponseFormat { - /// - /// Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("schema")] - public object? Schema { get; set; } - /// /// Optional. The MIME type of the text output. /// @@ -21,6 +15,12 @@ public sealed partial class TextResponseFormat [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter))] public global::Google.Gemini.TextResponseFormatMimeType? MimeType { get; set; } + /// + /// Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("schema")] + public object? Schema { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class TextResponseFormat /// /// Initializes a new instance of the class. /// - /// - /// Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON. - /// /// /// Optional. The MIME type of the text output. /// + /// + /// Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TextResponseFormat( - object? schema, - global::Google.Gemini.TextResponseFormatMimeType? mimeType) + global::Google.Gemini.TextResponseFormatMimeType? mimeType, + object? schema) { - this.Schema = schema; this.MimeType = mimeType; + this.Schema = schema; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs index fe471aeb..6470d5f7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class ThinkingConfig { /// - /// The number of thoughts tokens that the model should generate. + /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] - public int? ThinkingBudget { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingLevel")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] + public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. @@ -21,11 +22,10 @@ public sealed partial class ThinkingConfig public bool? IncludeThoughts { get; set; } /// - /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. + /// The number of thoughts tokens that the model should generate. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingLevel")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] - public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] + public int? ThinkingBudget { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,26 +36,26 @@ public sealed partial class ThinkingConfig /// /// Initializes a new instance of the class. /// - /// - /// The number of thoughts tokens that the model should generate. + /// + /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// /// /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// - /// - /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. + /// + /// The number of thoughts tokens that the model should generate. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( - int? thinkingBudget, + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, bool? includeThoughts, - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) + int? thinkingBudget) { - this.ThinkingBudget = thinkingBudget; - this.IncludeThoughts = includeThoughts; this.ThinkingLevel = thinkingLevel; + this.IncludeThoughts = includeThoughts; + this.ThinkingBudget = thinkingBudget; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs index 236747ae..7710ce23 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs @@ -8,30 +8,24 @@ namespace Google.Gemini /// public sealed partial class Tool { - /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] - public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } - /// /// Computer Use tool type. /// [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } - /// /// Tool to support URL context retrieval. /// [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] public global::Google.Gemini.UrlContext? UrlContext { 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; } + /// /// 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. /// @@ -39,10 +33,16 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// Tool to retrieve public web data for grounding, powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } + + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } /// /// Optional. MCP Servers to connect to. @@ -57,10 +57,10 @@ public sealed partial class Tool public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,23 +71,23 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// /// /// Computer Use tool type. /// - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. - /// /// /// Tool to support URL context retrieval. /// + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// /// /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + /// Tool to retrieve public web data for grounding, powered by Google. + /// + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// /// /// Optional. MCP Servers to connect to. @@ -95,32 +95,32 @@ public sealed partial class Tool /// /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, global::Google.Gemini.ComputerUse? computerUse, - global::Google.Gemini.CodeExecution? codeExecution, global::Google.Gemini.UrlContext? urlContext, - global::System.Collections.Generic.IList? functionDeclarations, global::Google.Gemini.GoogleMaps? googleMaps, + global::System.Collections.Generic.IList? functionDeclarations, + global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, + global::Google.Gemini.FileSearch? fileSearch, global::System.Collections.Generic.IList? mcpServers, global::Google.Gemini.GoogleSearch? googleSearch, - global::Google.Gemini.FileSearch? fileSearch) + global::Google.Gemini.CodeExecution? codeExecution) { - this.GoogleSearchRetrieval = googleSearchRetrieval; this.ComputerUse = computerUse; - this.CodeExecution = codeExecution; this.UrlContext = urlContext; - this.FunctionDeclarations = functionDeclarations; this.GoogleMaps = googleMaps; + this.FunctionDeclarations = functionDeclarations; + this.GoogleSearchRetrieval = googleSearchRetrieval; + this.FileSearch = fileSearch; this.McpServers = mcpServers; this.GoogleSearch = googleSearch; - this.FileSearch = fileSearch; + this.CodeExecution = codeExecution; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs index b0e4cb95..5cbd66dc 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 @@ -14,12 +14,6 @@ public sealed partial class ToolCall [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } - /// - /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} - /// - [global::System.Text.Json.Serialization.JsonPropertyName("args")] - public object? Args { get; set; } - /// /// Required. The type of tool that was called. /// @@ -27,6 +21,12 @@ 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. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} + /// + [global::System.Text.Json.Serialization.JsonPropertyName("args")] + public object? Args { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class ToolCall /// /// 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" , ...} - /// /// /// Required. The type of tool that was called. /// + /// + /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( string? id, - object? args, - global::Google.Gemini.ToolCallToolType? toolType) + global::Google.Gemini.ToolCallToolType? toolType, + object? args) { this.Id = id; - this.Args = args; this.ToolType = toolType; + 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 247efaa6..5299728a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs @@ -14,18 +14,18 @@ public sealed partial class ToolConfig [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } - /// - /// Retrieval config. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] - public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } - /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] public bool? IncludeServerSideToolInvocations { get; set; } + /// + /// Retrieval config. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] + public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ToolConfig /// /// Configuration for specifying function calling behavior. /// - /// - /// Retrieval config. - /// /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// + /// + /// Retrieval config. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - global::Google.Gemini.RetrievalConfig? retrievalConfig, - bool? includeServerSideToolInvocations) + bool? includeServerSideToolInvocations, + global::Google.Gemini.RetrievalConfig? retrievalConfig) { this.FunctionCallingConfig = functionCallingConfig; - this.RetrievalConfig = retrievalConfig; this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; + this.RetrievalConfig = retrievalConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index edda00c9..2ee7f407 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class ToolResponse { /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// Optional. The tool response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] - public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// /// Optional. The identifier of the tool call this response is for. @@ -22,10 +21,11 @@ public sealed partial class ToolResponse public string? Id { get; set; } /// - /// Optional. The tool response. + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] + public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,26 +36,26 @@ public sealed partial class ToolResponse /// /// Initializes a new instance of the class. /// - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// + /// Optional. The tool response. /// /// /// Optional. The identifier of the tool call this response is for. /// - /// - /// Optional. The tool response. + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( - global::Google.Gemini.ToolResponseToolType? toolType, + object? response, string? id, - object? response) + global::Google.Gemini.ToolResponseToolType? toolType) { - this.ToolType = toolType; - this.Id = id; this.Response = response; + this.Id = id; + this.ToolType = toolType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs index 5586af7c..9487be42 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TranslationConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class TranslationConfig { - /// - /// Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr"). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("targetLanguageCode")] - public string? TargetLanguageCode { get; set; } - /// /// Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language. /// [global::System.Text.Json.Serialization.JsonPropertyName("echoTargetLanguage")] public bool? EchoTargetLanguage { get; set; } + /// + /// Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr"). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("targetLanguageCode")] + public string? TargetLanguageCode { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class TranslationConfig /// /// Initializes a new instance of the class. /// - /// - /// Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr"). - /// /// /// Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language. /// + /// + /// Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr"). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TranslationConfig( - string? targetLanguageCode, - bool? echoTargetLanguage) + bool? echoTargetLanguage, + string? targetLanguageCode) { - this.TargetLanguageCode = targetLanguageCode; this.EchoTargetLanguage = echoTargetLanguage; + this.TargetLanguageCode = targetLanguageCode; } /// 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 a6594cc3..c2233828 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 @@ -9,12 +9,10 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - [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("temperature")] + public float? Temperature { get; set; } /// /// Output only. The timestamp when this model was created.
@@ -24,36 +22,25 @@ public sealed partial class TunedModel public string? CreateTime { get; set; } /// - /// Optional. A short description of this model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } - - /// - /// Output only. The timestamp when this model was updated.
+ /// 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("updateTime")] - public string? UpdateTime { get; set; } - - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Output only. The state of the tuned model.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { 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. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// /// Tuned model as a source for training a new model. @@ -67,6 +54,24 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + + /// + /// Optional. A short description of this model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } + + /// + /// Tuning tasks that create tuned models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } + /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// @@ -74,10 +79,11 @@ public sealed partial class TunedModel public string? BaseModel { get; set; } /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. @@ -85,12 +91,6 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("topP")] public float? TopP { get; set; } - /// - /// Tuning tasks that create tuned models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -100,30 +100,23 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Output only. The timestamp when this model was created.
/// Included only in responses /// - /// - /// Optional. A short description of this model. - /// - /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses - /// - /// - /// Optional. List of project numbers that have read access to the tuned model. - /// /// /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
/// Included only in responses /// - /// - /// Optional. 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.
+ /// Included only in responses + /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Tuned model as a source for training a new model. @@ -131,49 +124,56 @@ public sealed partial class TunedModel /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Optional. A short description of this model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - global::Google.Gemini.TunedModelState? state, + float? temperature, string? createTime, - string? description, - string? updateTime, - global::System.Collections.Generic.IList? readerProjectNumbers, string? name, - float? temperature, + global::Google.Gemini.TunedModelState? state, + int? topK, global::Google.Gemini.TunedModelSource? tunedModelSource, string? displayName, + global::System.Collections.Generic.IList? readerProjectNumbers, + string? description, + global::Google.Gemini.TuningTask? tuningTask, string? baseModel, - int? topK, - float? topP, - global::Google.Gemini.TuningTask? tuningTask) + string? updateTime, + float? topP) { - this.State = state; + this.Temperature = temperature; this.CreateTime = createTime; - this.Description = description; - this.UpdateTime = updateTime; - this.ReaderProjectNumbers = readerProjectNumbers; this.Name = name; - this.Temperature = temperature; + this.State = state; + this.TopK = topK; this.TunedModelSource = tunedModelSource; this.DisplayName = displayName; + this.ReaderProjectNumbers = readerProjectNumbers; + this.Description = description; + this.TuningTask = tuningTask; this.BaseModel = baseModel; - this.TopK = topK; + this.UpdateTime = updateTime; this.TopP = topP; - this.TuningTask = tuningTask; } /// 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 c14984f5..25936ef1 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 @@ -16,18 +16,18 @@ public sealed partial class TuningSnapshot public int? Step { get; set; } /// - /// Output only. The mean loss of the training examples for this step.
+ /// Output only. The epoch this step was part of.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] - public float? MeanLoss { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { get; set; } /// - /// Output only. The epoch this step was part of.
+ /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] + public float? MeanLoss { get; set; } /// /// Output only. The timestamp when this metric was computed.
@@ -49,14 +49,14 @@ public sealed partial class TuningSnapshot /// Output only. The tuning step.
/// Included only in responses /// - /// - /// Output only. The mean loss of the training examples for this step.
- /// Included only in responses - /// /// /// Output only. The epoch this step was part of.
/// Included only in responses /// + /// + /// Output only. The mean loss of the training examples for this step.
+ /// Included only in responses + /// /// /// Output only. The timestamp when this metric was computed.
/// Included only in responses @@ -66,13 +66,13 @@ public sealed partial class TuningSnapshot #endif public TuningSnapshot( int? step, - float? meanLoss, int? epoch, + float? meanLoss, string? computeTime) { this.Step = step; - this.MeanLoss = meanLoss; this.Epoch = epoch; + this.MeanLoss = meanLoss; this.ComputeTime = computeTime; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index e4e18537..b5b0bd37 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 @@ -9,11 +9,17 @@ 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; } + + /// + /// Dataset for training or validation. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] + public global::Google.Gemini.Dataset? TrainingData { get; set; } /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance @@ -22,24 +28,18 @@ public sealed partial class TuningTask public global::Google.Gemini.Hyperparameters? Hyperparameters { 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; } /// - /// Output only. The timestamp when tuning this model started.
+ /// Output only. Metrics collected during tuning.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } - - /// - /// Dataset for training or validation. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] - public global::Google.Gemini.Dataset? TrainingData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,39 +50,39 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// - /// - /// Output only. The timestamp when tuning this model completed.
+ /// + /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// + /// + /// Dataset for training or validation. + /// /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - /// - /// Output only. Metrics collected during tuning.
+ /// + /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// - /// - /// Output only. The timestamp when tuning this model started.
+ /// + /// Output only. Metrics collected during tuning.
/// Included only in responses /// - /// - /// Dataset for training or validation. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( - string? completeTime, - global::Google.Gemini.Hyperparameters? hyperparameters, - global::System.Collections.Generic.IList? snapshots, string? startTime, - global::Google.Gemini.Dataset? trainingData) + global::Google.Gemini.Dataset? trainingData, + global::Google.Gemini.Hyperparameters? hyperparameters, + string? completeTime, + global::System.Collections.Generic.IList? snapshots) { - this.CompleteTime = completeTime; - this.Hyperparameters = hyperparameters; - this.Snapshots = snapshots; this.StartTime = startTime; this.TrainingData = trainingData; + this.Hyperparameters = hyperparameters; + this.CompleteTime = completeTime; + this.Snapshots = snapshots; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs index a2765a96..0427ff8e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class UploadToFileSearchStoreRequest { - /// - /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - - /// - /// Custom metadata to be associated with the data. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Optional. Display name of the created document. /// [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + /// + /// Custom metadata to be associated with the data. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. - /// - /// - /// Custom metadata to be associated with the data. - /// /// /// Optional. Display name of the created document. /// + /// + /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// + /// + /// Custom metadata to be associated with the data. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - string? mimeType, - global::System.Collections.Generic.IList? customMetadata, string? displayName, - global::Google.Gemini.ChunkingConfig? chunkingConfig) + string? mimeType, + global::Google.Gemini.ChunkingConfig? chunkingConfig, + global::System.Collections.Generic.IList? customMetadata) { - this.MimeType = mimeType; - this.CustomMetadata = customMetadata; this.DisplayName = displayName; + this.MimeType = mimeType; this.ChunkingConfig = chunkingConfig; + this.CustomMetadata = customMetadata; } /// 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 5a833a75..10c75a72 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 @@ -15,25 +15,10 @@ public sealed partial class UsageMetadata public int? TotalTokenCount { get; set; } /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } - - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } - - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses + /// Total number of tokens across all the generated response candidates. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] - public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// /// Output only. Number of tokens of thoughts for thinking models.
@@ -42,13 +27,6 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] public int? ThoughtsTokenCount { 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. Service tier of the request.
/// Included only in responses @@ -63,6 +41,13 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] public int? PromptTokenCount { get; set; } + /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + /// /// Number of tokens in the cached part of the prompt (the cached content) /// @@ -70,10 +55,11 @@ public sealed partial class UsageMetadata public int? CachedContentTokenCount { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// /// Output only. Number of tokens present in tool-use prompt(s).
@@ -82,6 +68,20 @@ public sealed partial class UsageMetadata [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] public int? ToolUsePromptTokenCount { get; set; } + /// + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { 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 @@ -108,26 +108,13 @@ public sealed partial class UsageMetadata /// /// Total token count for the generation request (prompt + thoughts + response candidates). /// - /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses - /// - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses + /// + /// 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 returned in the response.
- /// Included only in responses - /// /// /// Output only. Service tier of the request.
/// Included only in responses @@ -135,16 +122,29 @@ public sealed partial class UsageMetadata /// /// 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 of the cached content in the request input.
+ /// Included only in responses + /// /// /// Number of tokens in the cached part of the prompt (the cached content) /// - /// - /// Total number of tokens across all the generated response candidates. + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// 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 + /// + /// + /// 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 @@ -158,30 +158,30 @@ public sealed partial class UsageMetadata #endif public UsageMetadata( int? totalTokenCount, - global::System.Collections.Generic.IList? cacheTokensDetails, - global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + int? candidatesTokenCount, int? thoughtsTokenCount, - global::System.Collections.Generic.IList? candidatesTokensDetails, global::Google.Gemini.UsageMetadataServiceTier? serviceTier, int? promptTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, int? cachedContentTokenCount, - int? candidatesTokenCount, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, int? toolUsePromptTokenCount, + global::System.Collections.Generic.IList? promptTokensDetails, + global::System.Collections.Generic.IList? candidatesTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { this.TotalTokenCount = totalTokenCount; - this.CacheTokensDetails = cacheTokensDetails; - this.PromptTokensDetails = promptTokensDetails; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.CandidatesTokenCount = candidatesTokenCount; this.ThoughtsTokenCount = thoughtsTokenCount; - this.CandidatesTokensDetails = candidatesTokensDetails; this.ServiceTier = serviceTier; this.PromptTokenCount = promptTokenCount; + this.CacheTokensDetails = cacheTokensDetails; this.CachedContentTokenCount = cachedContentTokenCount; - this.CandidatesTokenCount = candidatesTokenCount; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; + this.PromptTokensDetails = promptTokensDetails; + this.CandidatesTokensDetails = candidatesTokensDetails; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs index 7997b378..011001b8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs @@ -10,18 +10,18 @@ namespace Google.Gemini public sealed partial class VideoMetadata { /// - /// Optional. The end offset of the video. + /// Optional. The start offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public string? EndOffset { get; set; } + public string? StartOffset { get; set; } /// - /// Optional. The start offset of the video. + /// Optional. The end offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public string? StartOffset { get; set; } + public string? EndOffset { get; set; } /// /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. @@ -39,12 +39,12 @@ public sealed partial class VideoMetadata /// /// Initializes a new instance of the class. /// - /// - /// Optional. The end offset of the video. - /// /// /// Optional. The start offset of the video. /// + /// + /// Optional. The end offset of the video. + /// /// /// Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]. /// @@ -52,12 +52,12 @@ public sealed partial class VideoMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public VideoMetadata( - string? endOffset, string? startOffset, + string? endOffset, double? fps) { - this.EndOffset = endOffset; this.StartOffset = startOffset; + this.EndOffset = endOffset; this.Fps = fps; } diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 6130ca7e..d5d0b57f 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,15 +11,27 @@ } ], "paths": { - "/corpora": { + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", + "parameters": [ + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" } } } @@ -30,7 +42,34 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CustomLongRunningOperation" + } + } + } + } + } + } + }, + "/files": { + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -38,13 +77,13 @@ } }, "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { "type": "integer", "format": "int32" @@ -53,7 +92,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "description": "Optional. A page token from a previous `ListFiles` call.", "schema": { "type": "string" } @@ -65,7 +104,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/ListFilesResponse" } } } @@ -139,27 +178,26 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { + "/corpora": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "type": "string" } } ], @@ -169,51 +207,40 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListCorporaResponse" } } } } } - } - }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", - "parameters": [ - { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + }, + "post": { + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Corpus" } } } } } - }, + } + }, + "/corpora/{corporaId}/permissions/{permissionsId}": { "patch": { "description": "Updates the permission.", "operationId": "corpora.permissions.patch", @@ -303,33 +330,30 @@ } } } - } - }, - "/corpora/{corporaId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + }, + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ + { + "name": "permissionsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, { "name": "corporaId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", @@ -342,7 +366,9 @@ } } } - }, + } + }, + "/corpora/{corporaId}/permissions": { "get": { "description": "Lists permissions for the specific resource.", "operationId": "corpora.permissions.list", @@ -387,21 +413,19 @@ } } } - } - }, - "/models/{modelsId}:batchGenerateContent": { + }, "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "modelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -409,7 +433,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -420,7 +444,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } @@ -428,19 +452,27 @@ } } }, - "/models/{modelsId}": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "modelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -450,7 +482,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Operation" } } } @@ -458,15 +490,15 @@ } } }, - "/models": { + "/generatedFiles": { "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { "type": "integer", "format": "int32" @@ -475,7 +507,7 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { "type": "string" } @@ -487,7 +519,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } @@ -495,38 +527,37 @@ } } }, - "/models/{modelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "generatedFiles.operations.get", "parameters": [ { - "name": "modelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "generatedFilesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -534,16 +565,83 @@ } } }, - "/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", + "/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": "modelsId", + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListModelsResponse" + } + } + } + } + } + } + }, + "/models/{modelsId}": { + "get": { + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", + "parameters": [ + { + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Model" + } + } + } + } + } + } + }, + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", + "parameters": [ + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -554,7 +652,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -565,7 +663,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -612,16 +715,16 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { + "/models/{modelsId}:embedContent": { "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -632,7 +735,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -643,12 +746,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/EmbedContentResponse" } - }, - "text/event-stream": { + } + } + } + } + } + }, + "/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": "modelsId", + "in": "path", + "required": true, + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -695,16 +832,16 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { + "/models/{modelsId}:generateContent": { "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -715,7 +852,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -726,7 +863,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + } + } + } + } + } + }, + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", + "parameters": [ + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" } } } @@ -835,15 +1011,23 @@ } } }, - "/generatedFiles": { + "/tunedModels": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.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": "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 `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" @@ -852,7 +1036,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "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" } @@ -864,38 +1048,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - } - }, - "/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", + }, + "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": "operationsId", - "in": "path", - "required": true, + "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" } - }, - { - "name": "generatedFilesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" - } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -910,57 +1091,38 @@ } } }, - "/batches/{batchesId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", + "/tunedModels/{tunedModelsId}:transferOwnership": { + "post": { + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } - } - }, - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be deleted.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -968,52 +1130,38 @@ } } }, - "/batches": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1021,19 +1169,19 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { + "/tunedModels/{tunedModelsId}": { "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } }, { @@ -1050,7 +1198,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1061,27 +1209,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/batches/{batchesId}:cancel": { - "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", + }, + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1097,49 +1243,29 @@ } } } - } - }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + }, + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1147,50 +1273,27 @@ } } }, - "/cachedContents": { - "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "/tunedModels/{tunedModelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "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/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" - } - } - } - } - } - }, - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1201,7 +1304,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1209,56 +1312,58 @@ } } }, - "/cachedContents/{cachedContentsId}": { - "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + } + }, + "/tunedModels/{tunedModelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1266,7 +1371,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1277,25 +1382,65 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + } + }, + "/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": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } ], @@ -1305,7 +1450,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1313,38 +1458,37 @@ } } }, - "/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", + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "dynamicId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "operationsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1352,94 +1496,80 @@ } } }, - "/dynamic/{dynamicId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "dynamic.streamGenerateContent", + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "dynamicId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/files": { - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListFilesResponse" - } - } - } - } - } - }, - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1450,34 +1580,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" - } + }, + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", + "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/RegisterFilesResponse" + "$ref": "#/components/schemas/Permission" } } } @@ -1485,19 +1624,36 @@ } } }, - "/files/{filesId}": { + "/tunedModels/{tunedModelsId}/permissions": { "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { - "name": "filesId", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1507,35 +1663,44 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } } } }, - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { - "name": "filesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } @@ -1543,38 +1708,52 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + "/batches": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "type": "string" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1582,43 +1761,57 @@ } } }, - "/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", + "/batches/{batchesId}": { + "delete": { + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } } } } - }, + } + }, + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + } + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1626,19 +1819,19 @@ } } }, - "/tunedModels/{tunedModelsId}": { + "/batches/{batchesId}:updateEmbedContentBatch": { "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } }, { @@ -1655,7 +1848,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -1666,25 +1859,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/EmbedContentBatch" } } } } } - }, - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + } + }, + "/batches/{batchesId}:cancel": { + "post": { + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -1700,29 +1895,49 @@ } } } - }, - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.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": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -1730,25 +1945,15 @@ } } }, - "/tunedModels": { + "/cachedContents": { "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", - "parameters": [ - { - "name": "tunedModelId", - "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", - "schema": { - "type": "string" - } - } - ], + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1759,7 +1964,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1767,21 +1972,13 @@ } }, "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of 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" @@ -1790,7 +1987,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `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" } @@ -1802,7 +1999,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } @@ -1810,58 +2007,56 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + "/cachedContents/{cachedContentsId}": { + "get": { + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "tunedModelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/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", + }, + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "tunedModelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^cachedContents/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1869,7 +2064,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1880,74 +2075,109 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + }, + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "cachedContentsId", "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 referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } } } } - }, + } + } + }, + "/files/{filesId}": { + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", + "parameters": [ + { + "name": "filesId", + "in": "path", + "required": true, + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "schema": { + "type": "string", + "pattern": "^files/[^/]+$" + } + } + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + }, + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "tunedModelsId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^files/[^/]+$" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/File" + } + } + } + } + } + } + }, + "/files:register": { + "post": { + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/RegisterFilesRequest" } } } @@ -1958,7 +2188,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } @@ -1966,33 +2196,40 @@ } } }, - "/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": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" + "/fileSearchStores": { + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } } - }, - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } } - }, + } + } + }, + "get": { + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", + "parameters": [ { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { "type": "integer", "format": "int32" @@ -2001,18 +2238,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -2021,7 +2250,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -2029,27 +2258,19 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "/fileSearchStores/{fileSearchStoresId}": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "operationsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2059,35 +2280,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + }, + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", "schema": { - "type": "string" + "type": "boolean" } }, { - "name": "permissionsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2097,42 +2316,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + } + }, + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2140,7 +2344,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -2151,19 +2355,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + } + }, + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -2171,13 +2377,13 @@ } }, { - "name": "permissionsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -2187,7 +2393,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -2195,73 +2401,71 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Document" } } } } } }, - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.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.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", + "name": "force", "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "description": "Optional. 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": "tunedModelsId", + "name": "documentsId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -2271,7 +2475,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -2279,24 +2483,33 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + "/fileSearchStores/{fileSearchStoresId}/documents": { + "get": { + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "force", + "name": "pageSize", "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.", + "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": "boolean" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "schema": { + "type": "string" } }, { "name": "fileSearchStoresId", "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 `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", "pattern": "^fileSearchStores/[^/]+$" @@ -2309,25 +2522,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, { "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -2337,7 +2560,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Operation" } } } @@ -2345,19 +2568,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { + "/dynamic/{dynamicId}:generateContent": { "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -2365,7 +2588,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2376,7 +2599,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2384,15 +2607,27 @@ } } }, - "/fileSearchStores": { + "/dynamic/{dynamicId}:streamGenerateContent": { "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", + "parameters": [ + { + "name": "dynamicId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^dynamic/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2403,454 +2638,401 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/GenerateContentResponse" } - } - } - } - } - }, - "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", - "schema": { - "type": "string" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { + }, + "text/event-stream": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } } - }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } + } + }, + "components": { + "schemas": { + "EmbedContentResponse": { + "type": "object", + "properties": { + "embedding": { + "readOnly": true, + "description": "Output only. The embedding generated from the input content.", + "$ref": "#/components/schemas/ContentEmbedding" }, - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" - } + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } + }, + "description": "The response to an `EmbedContentRequest`." + }, + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", + "type": "object", + "properties": { + "mode": { + "description": "The mode of the predictor to be used in dynamic retrieval.", + "x-enum-descriptions": [ + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ], + "type": "string" }, - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number", + "format": "float" } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } + }, + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "type": "object", + "properties": { + "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.", + "$ref": "#/components/schemas/InlinedEmbedContentResponses" }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Document" - } - } - } + "responsesFile": { + "type": "string", + "readOnly": true, + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." } } }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } + "ResponseFormatConfig": { + "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", + "type": "object", + "properties": { + "audio": { + "description": "Optional. Audio output format configuration.", + "$ref": "#/components/schemas/AudioResponseFormat" }, - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } + "image": { + "description": "Optional. Image output format configuration.", + "$ref": "#/components/schemas/ImageResponseFormat" }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } - } + "text": { + "description": "Optional. Text output format configuration.", + "$ref": "#/components/schemas/TextResponseFormat" } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", - "schema": { - "type": "string" - } + }, + "UrlMetadata": { + "description": "Context of the a single url retrieval.", + "type": "object", + "properties": { + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "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/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" - } - } - } + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ], + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ] } } - } - } - }, - "components": { - "schemas": { - "RegisterFilesResponse": { + }, + "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": { - "files": { - "description": "The registered files to be used when calling GenerateContent.", + "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.", + "$ref": "#/components/schemas/GenerateContentRequest" + }, + "contents": { + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", "type": "array", "items": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Content" } } - }, - "description": "Response for `RegisterFiles`.", - "type": "object" + } }, - "GenerateContentResponse": { - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", + "FunctionDeclaration": { "type": "object", "properties": { - "candidates": { - "type": "array", - "description": "Candidate responses from the model.", - "items": { - "$ref": "#/components/schemas/Candidate" - } + "name": { + "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", + "type": "string" }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "parameters": { + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", + "$ref": "#/components/schemas/Schema" }, - "responseId": { - "readOnly": true, - "type": "string", - "description": "Output only. response_id is used to identify each response." + "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`." }, - "usageMetadata": { - "description": "Output only. Metadata on the generation requests' token usage.", - "$ref": "#/components/schemas/UsageMetadata", - "readOnly": true + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" }, - "modelVersion": { - "readOnly": true, + "description": { + "description": "Required. A brief description of the function.", + "type": "string" + }, + "behavior": { "type": "string", - "description": "Output only. The model version used to generate the response." + "x-enum-descriptions": [ + "This value is unused.", + "If set, the system will wait to receive the function response before continuing the conversation.", + "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + ], + "enum": [ + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ], + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method." }, - "modelStatus": { - "readOnly": true, - "description": "Output only. The current model status of this model.", - "$ref": "#/components/schemas/ModelStatus" + "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`." } - } - }, - "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" + }, + "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." }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", "type": "object", "properties": { - "retrievedUrl": { + "mode": { "type": "string", - "description": "Retrieved url by the tool." + "x-enum-descriptions": [ + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." + ], + "enum": [ + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" + ], + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO." }, - "urlRetrievalStatus": { - "description": "Status of the url retrieval.", + "allowedFunctionNames": { + "type": "array", + "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." + } + } + }, + "AudioResponseFormat": { + "type": "object", + "properties": { + "bitRate": { + "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", + "type": "integer", + "format": "int32" + }, + "mimeType": { + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "MP3 audio format.", + "OGG Opus audio format.", + "Raw PCM (L16) audio format.", + "WAV audio format.", + "A-law audio format.", + "Mu-law audio format." + ], "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" + "MIME_TYPE_UNSPECIFIED", + "AUDIO_MP3", + "AUDIO_OGG_OPUS", + "AUDIO_L16", + "AUDIO_WAV", + "AUDIO_ALAW", + "AUDIO_MULAW" ], + "description": "Optional. The MIME type of the audio output." + }, + "sampleRate": { + "type": "integer", + "format": "int32", + "description": "Optional. Sample rate in Hz." + }, + "delivery": { "type": "string", "x-enum-descriptions": [ "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ] - } - } - }, - "AttributionSourceId": { - "properties": { - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" - }, - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" + "Audio data is returned inline in the response.", + "Audio data is returned as a URI." + ], + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" + ], + "description": "Optional. The delivery mode for the audio output." } }, - "description": "Identifier for the source contributing to this attribution.", - "type": "object" + "description": "Configuration for audio output format." }, - "TransferOwnershipRequest": { - "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" - } - }, + "CreateFileResponse": { + "description": "Response for `CreateFile`.", "type": "object", - "description": "Request to transfer the ownership of the tuned model." - }, - "TuningExample": { "properties": { - "textInput": { - "description": "Optional. Text model input.", - "type": "string" - }, - "output": { - "description": "Required. The expected model output.", - "type": "string" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" } - }, - "type": "object", - "description": "A single example for tuning." + } }, - "LogprobsResultCandidate": { + "File": { + "description": "A file uploaded to the API. Next ID: 15", "type": "object", - "description": "Candidate for the logprobs token and score.", "properties": { - "tokenId": { - "format": "int32", - "description": "The candidate\u2019s token id value.", - "type": "integer" + "error": { + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status", + "readOnly": true }, - "logProbability": { - "description": "The candidate's log probability.", - "type": "number", - "format": "float" + "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" }, - "token": { + "source": { "type": "string", - "description": "The candidate\u2019s token string value." - } - } - }, - "EmbedContentConfig": { - "type": "object", - "description": "Configurations for the EmbedContent request.", - "properties": { - "title": { - "description": "Optional. The title for the text.", - "type": "string" + "x-enum-descriptions": [ + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ], + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "description": "Source of the File." }, - "outputDimensionality": { - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", - "type": "integer", - "format": "int32" + "updateTime": { + "type": "string", + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was last updated." }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "uri": { + "readOnly": true, + "type": "string", + "description": "Output only. The uri of the `File`." }, - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" + "sha256Hash": { + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "type": "string", + "readOnly": true, + "format": "byte" }, - "taskType": { + "videoMetadata": { + "description": "Output only. Metadata for a video.", + "$ref": "#/components/schemas/VideoFileMetadata", + "readOnly": true + }, + "mimeType": { + "type": "string", + "readOnly": true, + "description": "Output only. MIME type of the file." + }, + "expirationTime": { + "readOnly": true, + "format": "google-datetime", + "type": "string", + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire." + }, + "state": { + "readOnly": true, "type": "string", "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." ], - "description": "Optional. The task type of the embedding.", "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ] + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ], + "description": "Output only. Processing state of the File." }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" + "createTime": { + "readOnly": true, + "format": "google-datetime", + "type": "string", + "description": "Output only. The timestamp of when the `File` was created." + }, + "downloadUri": { + "readOnly": true, + "type": "string", + "description": "Output only. The download uri of the `File`." + }, + "sizeBytes": { + "type": "string", + "readOnly": true, + "format": "int64", + "description": "Output only. Size of the file in bytes." + }, + "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" } } }, - "EmbedContentBatch": { + "InlinedResponses": { + "type": "object", + "properties": { + "inlinedResponses": { + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedResponse" + }, + "description": "Output only. The responses to the requests in the batch." + } + }, + "description": "The responses to the requests in the batch." + }, + "GenerateContentBatch": { + "type": "object", "properties": { + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/GenerateContentBatchOutput", + "readOnly": true + }, "state": { + "readOnly": true, "type": "string", "x-enum-descriptions": [ "The batch state is unspecified.", @@ -2861,8 +3043,6 @@ "The batch has been cancelled.", "The batch has expired." ], - "readOnly": true, - "description": "Output only. The state of the batch.", "enum": [ "BATCH_STATE_UNSPECIFIED", "BATCH_STATE_PENDING", @@ -2871,900 +3051,729 @@ "BATCH_STATE_FAILED", "BATCH_STATE_CANCELLED", "BATCH_STATE_EXPIRED" - ] + ], + "description": "Output only. The state of the batch." }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "type": "string", + "readOnly": true, + "format": "google-datetime" }, "priority": { - "type": "string", "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "format": "int64" + "format": "int64", + "type": "string" }, - "batchStats": { + "name": { + "type": "string", "readOnly": true, - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/EmbedContentBatchStats" + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." }, - "output": { + "createTime": { "readOnly": true, - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/EmbedContentBatchOutput" + "format": "google-datetime", + "type": "string", + "description": "Output only. The time at which the batch was created." }, - "name": { + "batchStats": { "readOnly": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "type": "string" + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/BatchStats" }, "endTime": { - "format": "google-datetime", - "readOnly": true, "description": "Output only. The time at which the batch processing completed.", - "type": "string" - }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", "type": "string", - "format": "google-datetime", - "readOnly": true + "readOnly": true, + "format": "google-datetime" }, "model": { "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "type": "string", - "description": "Output only. The time at which the batch was created." - }, "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.", + "$ref": "#/components/schemas/InputConfig" } }, - "type": "object", - "description": "A resource representing a batch of `EmbedContent` requests." + "description": "A resource representing a batch of `GenerateContent` requests." }, - "ResponseFormatConfig": { + "ExecutableCode": { "type": "object", - "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", "properties": { - "image": { - "description": "Optional. Image output format configuration.", - "$ref": "#/components/schemas/ImageResponseFormat" + "code": { + "description": "Required. The code to be executed.", + "type": "string" }, - "text": { - "description": "Optional. Text output format configuration.", - "$ref": "#/components/schemas/TextResponseFormat" + "language": { + "description": "Required. Programming language of the `code`.", + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "type": "string" }, - "audio": { - "description": "Optional. Audio output format configuration.", - "$ref": "#/components/schemas/AudioResponseFormat" + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "type": "string" } - } + }, + "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." }, - "SemanticRetrieverChunk": { + "GroundingPassageId": { + "description": "Identifier for a part within a `GroundingPassage`.", + "type": "object", "properties": { - "source": { + "passageId": { "type": "string", - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "readOnly": true + "readOnly": true, + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`." }, - "chunk": { + "partIndex": { + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", "readOnly": true, - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "type": "string" + "format": "int32", + "type": "integer" } - }, - "type": "object", - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`." + } }, - "FileData": { + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "type": "object", - "description": "URI based data.", "properties": { - "fileUri": { - "type": "string", - "description": "Required. URI." + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" }, - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" + }, + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" } } }, - "CodeExecutionResult": { + "ImageConfig": { + "description": "Config for image generation features.", + "type": "object", "properties": { - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "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" }, - "outcome": { - "type": "string", - "x-enum-descriptions": [ - "Unspecified status. This value should not be used.", - "Code execution completed successfully. `output` contains the stdout, if any.", - "Code execution failed. `output` contains the stderr and stdout, if any.", - "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." - ], - "description": "Required. Outcome of the code execution.", - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ] - }, - "output": { - "type": "string", - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise." + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "type": "string" } - }, - "type": "object", - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used." + } }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", + "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": { - "completeTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp when tuning this model completed.", - "type": "string" - }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" - }, - "snapshots": { + "reviewSnippets": { + "type": "array", "items": { - "$ref": "#/components/schemas/TuningSnapshot" + "$ref": "#/components/schemas/ReviewSnippet" }, - "readOnly": true, - "description": "Output only. Metrics collected during tuning.", - "type": "array" - }, - "startTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp when tuning this model started.", - "type": "string" - }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps." } } }, - "GenerateContentBatch": { - "description": "A resource representing a batch of `GenerateContent` requests.", + "BatchStats": { "type": "object", "properties": { - "updateTime": { + "successfulRequestCount": { "type": "string", - "description": "Output only. The time at which the batch was last updated.", "readOnly": true, - "format": "google-datetime" + "format": "int64", + "description": "Output only. The number of requests that were successfully processed." }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "readOnly": true, + "format": "int64", "type": "string" }, - "createTime": { + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", "readOnly": true, - "format": "google-datetime", - "type": "string", - "description": "Output only. The time at which the batch was created." - }, - "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." + "format": "int64", + "type": "string" }, - "state": { + "requestCount": { + "readOnly": true, + "format": "int64", "type": "string", + "description": "Output only. The number of requests in the batch." + } + }, + "description": "Stats about the batch." + }, + "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": { "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." + "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." ], - "readOnly": true, - "description": "Output only. The state of the batch.", "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" + "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", + "description": "Required. The category for this rating.", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true ] }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" - }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" + "probability": { + "description": "Required. The probability of harm for this content.", + "x-enum-descriptions": [ + "Probability is unspecified.", + "Content has a negligible chance of being unsafe.", + "Content has a low chance of being unsafe.", + "Content has a medium chance of being unsafe.", + "Content has a high chance of being unsafe." + ], + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ], + "type": "string" }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/BatchStats", - "readOnly": true + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" + } + } + }, + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", + "type": "object", + "properties": { + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput", - "readOnly": true + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, + "response": { + "type": "object", + "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`." }, "name": { - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true + "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" }, - "endTime": { - "type": "string", - "description": "Output only. The time at which the batch processing completed.", - "readOnly": true, - "format": "google-datetime" + "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." + } } } }, - "EmbedContentRequest": { + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", + "type": "object", "properties": { - "title": { - "type": "string", - "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", - "deprecated": true - }, - "outputDimensionality": { - "deprecated": true, - "format": "int32", - "type": "integer", - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`)." - }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" + "response": { + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/EmbedContentResponse", + "readOnly": true }, - "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" + "error": { + "readOnly": true, + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status" }, - "taskType": { - "type": "string", + "metadata": { + "readOnly": true, + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Output only. The metadata associated with the request." + } + } + }, + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "type": "object", + "properties": { + "blockReason": { + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." + "Default value. This value is unused.", + "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." ], - "deprecated": true, - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ] + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "type": "string" }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" + "safetyRatings": { + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } } - }, + } + }, + "BatchGenerateContentRequest": { "type": "object", - "description": "Request containing the `Content` for the model to embed." + "properties": { + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" + } + }, + "description": "Request for a `BatchGenerateContent` operation." }, - "GenerationConfig": { + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "type": "object", - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "properties": { - "responseModalities": { + "requests": { "type": "array", - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", - "items": { - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ], - "type": "string", - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ] - } - }, - "logprobs": { - "type": "integer", - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "format": "int32" - }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" - }, - "candidateCount": { - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "type": "integer", - "format": "int32" - }, - "stopSequences": { "items": { - "type": "string" + "$ref": "#/components/schemas/InlinedRequest" }, - "type": "array", - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response." - }, - "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.", - "$ref": "#/components/schemas/Schema" - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." - }, - "presencePenalty": { - "format": "float", - "type": "number", - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary." - }, - "responseLogprobs": { - "type": "boolean", - "description": "Optional. If true, export the logprobs results in response." - }, - "temperature": { - "format": "float", - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "type": "number" - }, - "translationConfig": { - "description": "Optional. Config for translation.", - "$ref": "#/components/schemas/TranslationConfig" - }, - "enableEnhancedCivicAnswers": { - "type": "boolean", - "description": "Optional. Enables enhanced civic answers. It may not be available for all models." - }, - "responseMimeType": { - "type": "string", - "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types." - }, - "mediaResolution": { - "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)." - ], - "description": "Optional. If specified, the media resolution specified will be used.", - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ] - }, - "seed": { - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "type": "integer", - "format": "int32" - }, - "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.", - "$ref": "#/components/schemas/ImageConfig" - }, - "topK": { - "format": "int32", - "type": "integer", - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." - }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" - }, - "frequencyPenalty": { - "type": "number", - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "format": "float" - }, - "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" - }, - "topP": { - "format": "float", - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "number" - }, - "responseFormat": { - "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", - "$ref": "#/components/schemas/ResponseFormatConfig" + "description": "Required. The requests to be processed in the batch." } } }, - "EmbeddingUsageMetadata": { + "StringList": { + "description": "User provided string values assigned to a single metadata key.", "type": "object", - "description": "Metadata on the usage of the embedding request.", "properties": { - "promptTokenCount": { - "type": "integer", - "description": "Output only. Number of tokens in the prompt.", - "readOnly": true, - "format": "int32" - }, - "promptTokenDetails": { + "values": { "type": "array", - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "type": "string" + }, + "description": "The string values of the metadata to store." } } }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "type": "object", "properties": { - "successfulRequestCount": { - "type": "string", - "description": "Output only. The number of requests that were successfully processed.", - "readOnly": true, - "format": "int64" - }, - "failedRequestCount": { - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests that failed to be processed.", + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", "type": "string" }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "type": "string", - "format": "int64", - "readOnly": true + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", + "outcome": { + "x-enum-descriptions": [ + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ], + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ], "type": "string", - "format": "int64", - "readOnly": true + "description": "Required. Outcome of the code execution." } } }, - "ListPermissionsResponse": { + "GroundingChunkStringList": { + "description": "A list of string values.", + "type": "object", "properties": { - "permissions": { - "items": { - "$ref": "#/components/schemas/Permission" - }, + "values": { + "description": "The string values of the list.", "type": "array", - "description": "Returned permissions." - }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "items": { + "type": "string" + } } - }, - "type": "object", - "description": "Response from `ListPermissions` containing a paginated list of permissions." + } }, - "Interval": { + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "type": "object", - "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", "properties": { - "endTime": { - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", + "temperature": { + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", + "format": "float", + "type": "number" + }, + "createTime": { + "description": "Output only. The timestamp when this model was created.", "type": "string", + "readOnly": true, "format": "google-datetime" }, - "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.", + "name": { + "type": "string", + "readOnly": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`" + }, + "state": { + "readOnly": true, + "description": "Output only. The state of the tuned model.", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." + ], + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ], "type": "string" - } - } - }, - "SearchTypes": { - "type": "object", - "description": "Different types of search that can be enabled on the GoogleSearch tool.", - "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" - } - } - }, - "Status": { - "type": "object", - "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", - "properties": { - "code": { + "topK": { + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", "type": "integer", - "description": "The status code, which should be an enum value of google.rpc.Code.", "format": "int32" }, - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" + }, + "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" }, - "details": { + "readerProjectNumbers": { + "type": "array", "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "type": "string", + "format": "int64" }, - "type": "array", - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." - } - } - }, - "SafetySetting": { - "properties": { - "category": { - "description": "Required. The category for this setting.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "type": "string", - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ] + "description": "Optional. List of project numbers that have read access to the tuned model." }, - "threshold": { - "type": "string", - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ], - "description": "Required. Controls the probability threshold at which harm is blocked.", - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ] - } - }, - "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" - }, - "InputConfig": { - "description": "Configures the input to the batch request.", - "type": "object", - "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" + "description": { + "description": "Optional. A short description of this model.", + "type": "string" }, - "fileName": { + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" + }, + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" + }, + "updateTime": { "type": "string", - "description": "The name of the `File` containing the input requests." + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The timestamp when this model was updated." + }, + "topP": { + "format": "float", + "type": "number", + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model." } } }, - "AudioResponseFormat": { - "properties": { - "delivery": { - "description": "Optional. The delivery mode for the audio output.", - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Audio data is returned inline in the response.", - "Audio data is returned as a URI." - ] + "Maps": { + "type": "object", + "properties": { + "text": { + "description": "Text description of the place answer.", + "type": "string" }, - "bitRate": { - "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", - "type": "integer", - "format": "int32" + "uri": { + "description": "URI reference of the place.", + "type": "string" }, - "mimeType": { - "description": "Optional. The MIME type of the audio output.", - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "AUDIO_MP3", - "AUDIO_OGG_OPUS", - "AUDIO_L16", - "AUDIO_WAV", - "AUDIO_ALAW", - "AUDIO_MULAW" - ], - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "MP3 audio format.", - "OGG Opus audio format.", - "Raw PCM (L16) audio format.", - "WAV audio format.", - "A-law audio format.", - "Mu-law audio format." - ] + "title": { + "description": "Title of the place.", + "type": "string" }, - "sampleRate": { - "description": "Optional. Sample rate in Hz.", - "type": "integer", - "format": "int32" + "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.", + "$ref": "#/components/schemas/PlaceAnswerSources" } }, - "description": "Configuration for audio output format.", - "type": "object" + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place." }, - "CachedContentUsageMetadata": { + "PrebuiltVoiceConfig": { + "type": "object", "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", - "type": "integer", - "format": "int32" + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" } }, - "type": "object", - "description": "Metadata on the usage of the cached content." + "description": "The configuration for the prebuilt speaker to use." }, - "TuningExamples": { + "ListOperationsResponse": { + "type": "object", "properties": { - "examples": { + "unreachable": { + "type": "array", "items": { - "$ref": "#/components/schemas/TuningExample" + "type": "string" + }, + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations." + }, + "operations": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Operation" }, - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", - "type": "array" + "description": "A list of operations that matches the specified filter in the request." + }, + "nextPageToken": { + "description": "The standard List next-page token.", + "type": "string" } }, + "description": "The response message for Operations.ListOperations." + }, + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", "type": "object", - "description": "A set of tuning examples. Can be training or validation data." + "properties": { + "cachedContents": { + "description": "List of cached contents.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CachedContent" + } + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "type": "string" + } + } }, - "FileSearchStore": { + "Document": { + "type": "object", "properties": { "updateTime": { - "type": "string", - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "description": "Output only. The Timestamp of when the `Document` was last updated.", "readOnly": true, - "format": "google-datetime" + "format": "google-datetime", + "type": "string" }, - "failedDocumentsCount": { + "state": { "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", - "readOnly": true, - "format": "int64" + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." + ], + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], + "description": "Output only. Current state of the `Document`.", + "readOnly": true }, - "embeddingModel": { - "type": "string", - "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used." + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`." }, - "createTime": { + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the Document.", "readOnly": true, - "format": "google-datetime", - "type": "string", - "description": "Output only. The Timestamp of when the `FileSearchStore` was created." - }, - "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\"", + "format": "int64", "type": "string" }, - "sizeBytes": { - "format": "int64", + "createTime": { + "description": "Output only. The Timestamp of when the `Document` was created.", "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`.", + "format": "google-datetime", "type": "string" }, - "activeDocumentsCount": { - "readOnly": true, - "format": "int64", - "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval." + "displayName": { + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", + "type": "string" }, - "pendingDocumentsCount": { + "mimeType": { "readOnly": true, - "format": "int64", "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed." + "description": "Output only. The mime type of the Document." }, "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated." + "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" } }, - "description": "A `FileSearchStore` is a collection of `Document`s.", - "type": "object" + "description": "A `Document` is a collection of `Chunk`s." }, - "InlinedEmbedContentResponse": { - "description": "The response to a single request in the batch.", + "GenerateContentResponse": { "type": "object", "properties": { - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", + "modelVersion": { + "description": "Output only. The model version used to generate the response.", + "type": "string", "readOnly": true }, - "response": { + "modelStatus": { "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/EmbedContentResponse" + "description": "Output only. The current model status of this model.", + "$ref": "#/components/schemas/ModelStatus" }, - "metadata": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Output only. The metadata associated with the request.", - "readOnly": true - } - } - }, - "Model": { - "type": "object", - "description": "Information about a Generative Language Model.", - "properties": { - "temperature": { - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", - "type": "number", - "format": "float" + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" }, - "name": { + "responseId": { "type": "string", - "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`" + "readOnly": true, + "description": "Output only. response_id is used to identify each response." }, - "outputTokenLimit": { - "type": "integer", - "description": "Maximum number of output tokens available for this model.", - "format": "int32" + "usageMetadata": { + "description": "Output only. Metadata on the generation requests' token usage.", + "$ref": "#/components/schemas/UsageMetadata", + "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`.", + "candidates": { "type": "array", "items": { - "type": "string" - } - }, - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", - "type": "string" - }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "$ref": "#/components/schemas/Candidate" + }, + "description": "Candidate responses from the model." + } + }, + "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`." + }, + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", + "type": "object", + "properties": { + "text": { + "description": "Optional. Text of the chunk.", "type": "string" }, - "topP": { - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "type": "number", - "format": "float" - }, - "topK": { - "type": "integer", - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", - "format": "int32" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" - }, - "inputTokenLimit": { - "format": "int32", - "description": "Maximum number of input tokens allowed for this model.", - "type": "integer" - }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", "type": "string" }, - "description": { - "description": "A short description of the model.", + "title": { + "description": "Optional. Title of the document.", "type": "string" }, - "maxTemperature": { - "description": "The maximum temperature this model can use.", - "type": "number", - "format": "float" - } - } - }, - "DynamicRetrievalConfig": { - "properties": { - "mode": { - "type": "string", - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], - "description": "The mode of the predictor to be used in dynamic retrieval.", - "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ] + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "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" + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + }, + "description": "Optional. User-provided metadata about the retrieved context." + }, + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "type": "string" + }, + "pageNumber": { + "type": "integer", + "format": "int32", + "description": "Optional. Page number of the retrieved context, if applicable." } - }, - "type": "object", - "description": "Describes the options to customize dynamic retrieval." + } }, "ToolResponse": { + "type": "object", "properties": { + "response": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool response." + }, + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" + }, "toolType": { - "type": "string", + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", "x-enum-descriptions": [ "Unspecified tool type.", "Google search tool, maps to Tool.google_search.search_types.web_search.", @@ -3773,7 +3782,6 @@ "Google maps tool, maps to Tool.google_maps.", "File search tool, maps to Tool.file_search." ], - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", "enum": [ "TOOL_TYPE_UNSPECIFIED", "GOOGLE_SEARCH_WEB", @@ -3781,3148 +3789,3140 @@ "URL_CONTEXT", "GOOGLE_MAPS", "FILE_SEARCH" - ] + ], + "type": "string" + } + }, + "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`." + }, + "Content": { + "type": "object", + "properties": { + "parts": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Part" + }, + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." }, - "id": { - "type": "string", - "description": "Optional. The identifier of the tool call this response is for." + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "type": "string" + } + }, + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn." + }, + "InlinedResponse": { + "description": "The response to a single request in the batch.", + "type": "object", + "properties": { + "error": { + "readOnly": true, + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status" }, - "response": { + "metadata": { + "readOnly": true, "type": "object", "additionalProperties": { "description": "Properties of the object." }, - "description": "Optional. The tool response." + "description": "Output only. The metadata associated with the request." + }, + "response": { + "readOnly": true, + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse" } - }, - "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" + } }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", + "Corpus": { "type": "object", - "properties": {} - }, - "TunedModel": { "properties": { - "state": { - "description": "Output only. The state of the tuned model.", - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], - "readOnly": true, - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ] - }, "createTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp when this model was created.", - "type": "string" - }, - "description": { - "type": "string", - "description": "Optional. A short description of this model." - }, - "updateTime": { + "description": "Output only. The Timestamp of when the `Corpus` was created.", "type": "string", - "description": "Output only. The timestamp when this model was updated.", "readOnly": true, "format": "google-datetime" }, - "readerProjectNumbers": { - "description": "Optional. List of project numbers that have read access to the tuned model.", - "type": "array", - "items": { - "format": "int64", - "type": "string" - } - }, - "name": { + "updateTime": { + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", "readOnly": true, - "type": "string", - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`" - }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "number", - "format": "float" - }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "format": "google-datetime", + "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": "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" }, - "baseModel": { - "type": "string", - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`" - }, - "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" - }, - "topP": { - "format": "float", - "type": "number", - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model." - }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" + "name": { + "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", + "readOnly": true, + "type": "string" } }, - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", - "type": "object" + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." }, - "TranslationConfig": { - "description": "Config for translation features.", + "Image": { + "description": "Chunk from image search.", "type": "object", "properties": { - "targetLanguageCode": { - "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", + "sourceUri": { + "description": "The web page URI for attribution.", "type": "string" }, - "echoTargetLanguage": { - "type": "boolean", - "description": "Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language." - } - } - }, - "VideoFileMetadata": { - "properties": { - "videoDuration": { - "type": "string", - "description": "Duration of the video.", - "format": "google-duration" - } - }, - "description": "Metadata for a video `File`.", - "type": "object" - }, - "ListOperationsResponse": { - "properties": { - "operations": { - "type": "array", - "description": "A list of operations that matches the specified filter in the request.", - "items": { - "$ref": "#/components/schemas/Operation" - } + "title": { + "description": "The title of the web page that the image is from.", + "type": "string" }, - "unreachable": { - "items": { - "type": "string" - }, - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", - "type": "array" + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" }, - "nextPageToken": { - "description": "The standard List next-page token.", + "imageUri": { + "description": "The image asset URL.", "type": "string" } - }, - "description": "The response message for Operations.ListOperations.", - "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).", + "FileSearchStore": { "type": "object", "properties": { - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" - }, - "maxItems": { - "description": "Optional. Maximum number of the elements for Type.ARRAY.", - "type": "string", - "format": "int64" - }, - "type": { - "type": "string", - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ], - "description": "Required. Data type.", - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ] - }, - "pattern": { - "type": "string", - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression." - }, - "anyOf": { - "items": { - "$ref": "#/components/schemas/Schema" - }, - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", - "type": "array" - }, - "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" - } - }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "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", - "format": "int64" + "readOnly": true }, - "format": { + "createTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", "type": "string", - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." - }, - "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." + "readOnly": true, + "format": "google-datetime" }, - "title": { + "pendingDocumentsCount": { "type": "string", - "description": "Optional. The title of the schema." + "readOnly": true, + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed." }, - "minItems": { + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", "type": "string", - "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "readOnly": true, "format": "int64" }, - "propertyOrdering": { - "type": "array", - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", - "items": { - "type": "string" - } - }, - "required": { - "description": "Optional. Required properties of Type.OBJECT.", - "type": "array", - "items": { - "type": "string" - } - }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - }, - "maxProperties": { - "format": "int64", - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "type": "string" - }, - "minimum": { - "format": "double", - "type": "number", - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "type": "string", + "readOnly": true, + "format": "int64" }, - "description": { + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", "type": "string", - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown." + "readOnly": true, + "format": "google-datetime" }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "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" }, - "maxLength": { - "format": "int64", - "description": "Optional. Maximum length of the Type.STRING", + "embeddingModel": { + "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used.", "type": "string" }, - "minProperties": { + "failedDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "readOnly": true, "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT.", "type": "string" - }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - } } - } + }, + "description": "A `FileSearchStore` is a collection of `Document`s." }, - "FunctionResponsePart": { - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "GeneratedFile": { "type": "object", "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" + }, + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" + }, + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" + }, + "state": { + "readOnly": true, + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ], + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "type": "string", + "description": "Output only. The state of the GeneratedFile." } - } + }, + "description": "A file generated on behalf of a user." }, - "RetrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", + "WebSearch": { + "type": "object", + "properties": {}, + "description": "Standard web search for grounding and related configurations." + }, + "SpeakerVoiceConfig": { "type": "object", "properties": { - "googleSearchDynamicRetrievalScore": { - "type": "number", - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "format": "float" + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "type": "string" + }, + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" } - } + }, + "description": "The configuration for a single speaker in a multi speaker setup." }, - "ExecutableCode": { + "Candidate": { + "description": "A response candidate generated from the model.", + "type": "object", "properties": { - "language": { - "description": "Required. Programming language of the `code`.", + "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.", + "Request was filtered by an escalation rule." + ], "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE", + "ESCALATION" ], "type": "string", - "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." - ] + "readOnly": true }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" + "content": { + "readOnly": true, + "description": "Output only. Generated content returned from the model.", + "$ref": "#/components/schemas/Content" }, - "id": { - "type": "string", - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." - } - }, - "type": "object", - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated." - }, - "InlinedEmbedContentRequests": { - "properties": { - "requests": { + "avgLogprobs": { + "type": "number", + "readOnly": true, + "format": "double", + "description": "Output only. Average log probability score of the candidate." + }, + "index": { + "readOnly": true, + "format": "int32", + "type": "integer", + "description": "Output only. Index of the candidate in the list of response candidates." + }, + "safetyRatings": { "type": "array", - "description": "Required. The requests to be processed in the batch.", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" + "$ref": "#/components/schemas/SafetyRating" + }, + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category." + }, + "tokenCount": { + "description": "Output only. Token count for this candidate.", + "readOnly": true, + "format": "int32", + "type": "integer" + }, + "citationMetadata": { + "readOnly": true, + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "$ref": "#/components/schemas/CitationMetadata" + }, + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "$ref": "#/components/schemas/LogprobsResult", + "readOnly": true + }, + "groundingMetadata": { + "readOnly": true, + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "$ref": "#/components/schemas/GroundingMetadata" + }, + "groundingAttributions": { + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingAttribution" } + }, + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "$ref": "#/components/schemas/UrlContextMetadata", + "readOnly": true + }, + "finishMessage": { + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "readOnly": true, + "type": "string" } - }, - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "type": "object" + } }, - "ModalityTokenCount": { + "ThinkingConfig": { + "description": "Config for thinking features.", "type": "object", - "description": "Represents token counting info for a single modality.", "properties": { - "modality": { + "thinkingLevel": { "type": "string", "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." ], - "description": "The modality associated with this token count.", "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ] + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error." }, - "tokenCount": { - "description": "Number of tokens.", + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" + }, + "thinkingBudget": { "type": "integer", - "format": "int32" + "format": "int32", + "description": "The number of thoughts tokens that the model should generate." } } }, - "RegisterFilesRequest": { - "properties": { - "uris": { - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", - "type": "array", - "items": { - "type": "string" - } - } - }, - "description": "Request for `RegisterFiles`.", - "type": "object" - }, - "ListCachedContentsResponse": { + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", "type": "object", - "description": "Response with CachedContents list.", "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.", - "type": "string" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" }, - "cachedContents": { - "items": { - "$ref": "#/components/schemas/CachedContent" - }, - "type": "array", - "description": "List of cached contents." + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } } } }, - "InlinedResponses": { - "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedResponse" - }, - "readOnly": true - } - }, - "description": "The responses to the requests in the batch.", - "type": "object" - }, - "GroundingMetadata": { + "FileSearch": { + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "type": "object", - "description": "Metadata returned to client when grounding is enabled.", "properties": { - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" - }, - "groundingSupports": { - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - }, - "description": "List of grounding support.", - "type": "array" - }, - "imageSearchQueries": { + "fileSearchStoreNames": { "type": "array", - "description": "Image search queries used for grounding.", "items": { "type": "string" - } - }, - "groundingChunks": { - "items": { - "$ref": "#/components/schemas/GroundingChunk" }, - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "type": "array" - }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" }, - "webSearchQueries": { - "type": "array", - "description": "Web search queries for the following-up web search.", - "items": { - "type": "string" - } + "topK": { + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer", + "format": "int32" }, - "googleMapsWidgetContextToken": { - "type": "string", - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled." + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" } } }, - "ChunkingConfig": { + "GroundingAttribution": { + "type": "object", "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", + "$ref": "#/components/schemas/AttributionSourceId", + "readOnly": true + }, + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" } }, - "type": "object", - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto" + "description": "Attribution for a source that contributed to an answer." }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", "type": "object", "properties": { - "response": { - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "name": { - "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.", - "$ref": "#/components/schemas/Status" - }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "candidates": { + "description": "Sorted by log probability in descending order.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" } - }, - "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" } } }, - "ImportFileRequest": { + "TunedModelSource": { + "type": "object", "properties": { - "customMetadata": { - "description": "Custom metadata to be associated with the file.", - "type": "array", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - } - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "baseModel": { + "type": "string", + "readOnly": true, + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" }, - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "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" } }, - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", - "type": "object" + "description": "Tuned model as a source for training a new model." }, - "InlinedResponse": { - "description": "The response to a single request in the batch.", + "CachedContent": { "type": "object", "properties": { - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", - "readOnly": true + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", + "type": "string", + "readOnly": true, + "format": "google-datetime" }, - "response": { - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse", - "readOnly": true + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" }, - "metadata": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Output only. The metadata associated with the request.", + "name": { + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "type": "string", "readOnly": true - } - } - }, - "Tool": { - "type": "object", - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", - "properties": { - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" + "createTime": { + "description": "Output only. Creation time of the cache entry.", + "type": "string", + "readOnly": true, + "format": "google-datetime" }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" + "expireTime": { + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", + "type": "string", + "format": "google-datetime" }, - "functionDeclarations": { + "ttl": { + "format": "google-duration", + "type": "string", + "description": "Input only. New TTL for this resource, input only." + }, + "usageMetadata": { + "readOnly": true, + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata" + }, + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "type": "string" + }, + "contents": { + "type": "array", "items": { - "$ref": "#/components/schemas/FunctionDeclaration" + "$ref": "#/components/schemas/Content" }, - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "type": "array" + "description": "Optional. Input only. Immutable. The content to cache." }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "type": "string" }, - "mcpServers": { - "description": "Optional. MCP Servers to connect to.", + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", "type": "array", "items": { - "$ref": "#/components/schemas/McpServer" - } - }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" - } - } - }, - "InlinedEmbedContentRequest": { - "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." + "$ref": "#/components/schemas/Tool" } } }, - "description": "The request to be processed in the batch.", - "type": "object" + "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for." }, - "WhiteSpaceConfig": { - "description": "Configuration for a white space chunking algorithm [white space delimited].", + "UrlContext": { + "description": "Tool to support URL context retrieval.", + "type": "object", + "properties": {} + }, + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", "type": "object", "properties": { - "maxOverlapTokens": { - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "type": "integer", - "format": "int32" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" }, - "maxTokensPerChunk": { - "format": "int32", - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", - "type": "integer" + "models": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Model" + }, + "description": "The returned Models." } } }, - "InlinedRequests": { + "TuningTask": { + "description": "Tuning tasks that create tuned models.", "type": "object", - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "requests": { + "startTime": { + "readOnly": true, + "format": "google-datetime", + "type": "string", + "description": "Output only. The timestamp when tuning this model started." + }, + "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" + }, + "completeTime": { + "description": "Output only. The timestamp when tuning this model completed.", + "type": "string", + "readOnly": true, + "format": "google-datetime" + }, + "snapshots": { + "readOnly": true, + "type": "array", "items": { - "$ref": "#/components/schemas/InlinedRequest" + "$ref": "#/components/schemas/TuningSnapshot" }, - "type": "array", - "description": "Required. The requests to be processed in the batch." + "description": "Output only. Metrics collected during tuning." } } }, - "Dataset": { + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", + "type": "object", "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "citationSources": { + "description": "Citations to sources for a specific response.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CitationSource" + } } - }, - "description": "Dataset for training or validation.", - "type": "object" + } }, - "ComputerUse": { + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", + "type": "object", "properties": { - "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" + "totalTokenCount": { + "format": "int32", + "type": "integer", + "description": "Total token count for the generation request (prompt + thoughts + response candidates)." }, - "enablePromptInjectionDetection": { - "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", - "type": "boolean" + "candidatesTokenCount": { + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer", + "format": "int32" }, - "environment": { + "thoughtsTokenCount": { + "type": "integer", + "readOnly": true, + "format": "int32", + "description": "Output only. Number of tokens of thoughts for thinking models." + }, + "serviceTier": { "type": "string", "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser.", - "Operates in a mobile environment.", - "Operates in a desktop environment." + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." ], - "description": "Required. The environment being operated.", "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER", - "ENVIRONMENT_MOBILE", - "ENVIRONMENT_DESKTOP" - ] + "unspecified", + "standard", + "flex", + "priority" + ], + "description": "Output only. Service tier of the request.", + "readOnly": true }, - "disabledSafetyPolicies": { + "promptTokenCount": { + "format": "int32", + "type": "integer", + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content." + }, + "cacheTokensDetails": { + "readOnly": true, "type": "array", - "description": "Optional. Disabled safety policies for computer use.", "items": { - "enum": [ - "SAFETY_POLICY_UNSPECIFIED", - "FINANCIAL_TRANSACTIONS", - "SENSITIVE_DATA_MODIFICATION", - "COMMUNICATION_TOOL", - "ACCOUNT_CREATION", - "DATA_MODIFICATION", - "USER_CONSENT_MANAGEMENT", - "LEGAL_TERMS_AND_AGREEMENTS" - ], - "type": "string", - "x-enum-descriptions": [ - "Unspecified safety policy.", - "Safety policy for financial transactions.", - "Safety policy for sensitive data modification.", - "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", - "Safety policy for account creation.", - "Safety policy for data modification.", - "Safety policy for user consent management.", - "Safety policy for legal terms and agreements." - ] - } - } - }, - "description": "Computer Use tool type.", - "type": "object" - }, - "GroundingPassageId": { - "properties": { - "passageId": { - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", - "type": "string", - "readOnly": true + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities of the cached content in the request input." }, - "partIndex": { + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "type": "integer", + "format": "int32" + }, + "toolUsePromptTokensDetails": { + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed for tool-use request inputs." + }, + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", "readOnly": true, "format": "int32", + "type": "integer" + }, + "promptTokensDetails": { + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input." + }, + "candidatesTokensDetails": { + "description": "Output only. List of modalities that were returned in the response.", + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", "type": "integer", - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`." + "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": { + "$ref": "#/components/schemas/ModalityTokenCount" + } } - }, - "description": "Identifier for a part within a `GroundingPassage`.", - "type": "object" + } }, - "SearchEntryPoint": { + "CreateFileRequest": { + "type": "object", "properties": { - "sdkBlob": { - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "type": "string", - "format": "byte" - }, - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", - "type": "string" + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" } }, - "description": "Google search entry point.", - "type": "object" + "description": "Request for `CreateFile`." }, - "Document": { + "Model": { "type": "object", - "description": "A `Document` is a collection of `Chunk`s.", "properties": { - "createTime": { - "readOnly": true, - "format": "google-datetime", - "type": "string", - "description": "Output only. The Timestamp of when the `Document` was created." - }, - "mimeType": { - "readOnly": true, - "type": "string", - "description": "Output only. The mime type of the Document." + "maxTemperature": { + "type": "number", + "format": "float", + "description": "The maximum temperature this model can use." }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", - "type": "array" + "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.", + "format": "int32", + "type": "integer" }, "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`", + "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" }, - "displayName": { - "type": "string", - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"" + "inputTokenLimit": { + "description": "Maximum number of input tokens allowed for this model.", + "format": "int32", + "type": "integer" }, - "updateTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The Timestamp of when the `Document` was last updated.", + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", "type": "string" }, - "state": { - "readOnly": true, - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ], - "description": "Output only. Current state of the `Document`.", - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ] + "temperature": { + "type": "number", + "format": "float", + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model." }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the Document.", - "type": "string", - "format": "int64", - "readOnly": true - } - } - }, - "ContentEmbedding": { - "properties": { - "values": { - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", + "supportedGenerationMethods": { "type": "array", "items": { - "format": "float", - "type": "number" - } - }, - "shape": { - "items": { - "type": "integer", - "format": "int32" + "type": "string" }, - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "type": "array" - } - }, - "type": "object", - "description": "A list of floats representing an embedding." - }, - "GenerateContentBatchOutput": { - "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "type": "string", - "readOnly": true + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." }, - "inlinedResponses": { - "readOnly": true, - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedResponses" + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" + }, + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" + }, + "outputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of output tokens available for this model." + }, + "topP": { + "type": "number", + "format": "float", + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model." + }, + "description": { + "description": "A short description of the model.", + "type": "string" + }, + "displayName": { + "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", + "type": "string" } }, - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", - "type": "object" + "description": "Information about a Generative Language Model." }, - "McpServer": { + "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": {} + }, + "SearchTypes": { + "type": "object", "properties": { - "name": { - "description": "The name of the MCPServer.", - "type": "string" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" }, - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" } }, - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", - "type": "object" + "description": "Different types of search that can be enabled on the GoogleSearch tool." }, - "ThinkingConfig": { + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", "type": "object", - "description": "Config for thinking features.", "properties": { - "thinkingBudget": { + "totalTokens": { "type": "integer", - "description": "The number of thoughts tokens that the model should generate.", - "format": "int32" + "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." }, - "includeThoughts": { - "type": "boolean", - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." + "promptTokensDetails": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "description": "Output only. List of modalities that were processed in the request input." }, - "thinkingLevel": { - "type": "string", - "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. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ] - } - } - }, - "TransferOwnershipResponse": { - "properties": {}, - "type": "object", - "description": "Response from `TransferOwnership`." - }, - "TopCandidates": { - "type": "object", - "description": "Candidates with top log probabilities at each decoding step.", - "properties": { - "candidates": { + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content).", + "format": "int32", + "type": "integer" + }, + "cacheTokensDetails": { + "readOnly": true, "type": "array", - "description": "Sorted by log probability in descending order.", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the cached content." } } }, - "WebSearch": { - "description": "Standard web search for grounding and related configurations.", - "type": "object", - "properties": {} - }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "type": "object", "properties": { - "generatedFiles": { - "type": "array", - "description": "The list of `GeneratedFile`s.", - "items": { - "$ref": "#/components/schemas/GeneratedFile" - } - }, - "nextPageToken": { + "data": { + "description": "Raw bytes for media formats.", "type": "string", - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." + "format": "byte" + }, + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", + "type": "string" } } }, - "MultiSpeakerVoiceConfig": { + "EmbedContentBatchStats": { + "type": "object", "properties": { - "speakerVoiceConfigs": { - "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - }, - "description": "Required. All the enabled speaker voices.", - "type": "array" + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, + "format": "int64", + "type": "string" + }, + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "type": "string", + "readOnly": true, + "format": "int64" + }, + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "readOnly": true, + "format": "int64", + "type": "string" + }, + "pendingRequestCount": { + "type": "string", + "readOnly": true, + "format": "int64", + "description": "Output only. The number of requests that are still pending processing." } }, - "type": "object", - "description": "The configuration for the multi-speaker setup." + "description": "Stats about the batch." }, - "FunctionCall": { + "ListTunedModelsResponse": { + "description": "Response from `ListTunedModels` containing a paginated list of Models.", "type": "object", - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "properties": { - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", - "type": "string" - }, - "args": { - "description": "Optional. The function parameters and values in JSON object format.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "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.", + "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" + }, + "tunedModels": { + "type": "array", + "items": { + "$ref": "#/components/schemas/TunedModel" + }, + "description": "The returned Models." } } }, - "CachedContent": { + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", + "type": "object", "properties": { - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "type": "string", - "readOnly": true + "presencePenalty": { + "type": "number", + "format": "float", + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary." }, - "expireTime": { - "format": "google-datetime", - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "type": "string" + "maxOutputTokens": { + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", + "format": "int32", + "type": "integer" }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" + "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.", + "$ref": "#/components/schemas/Schema" }, - "tools": { - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "frequencyPenalty": { + "format": "float", + "type": "number", + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit." + }, + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" + }, + "stopSequences": { "type": "array", "items": { - "$ref": "#/components/schemas/Tool" + "type": "string" + }, + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response." + }, + "translationConfig": { + "description": "Optional. Config for translation.", + "$ref": "#/components/schemas/TranslationConfig" + }, + "responseModalities": { + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "type": "array", + "items": { + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ] } }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. Metadata on the usage of the cached content.", - "$ref": "#/components/schemas/CachedContentUsageMetadata" + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" }, - "displayName": { - "type": "string", - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters." + "responseFormat": { + "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", + "$ref": "#/components/schemas/ResponseFormatConfig" }, - "contents": { - "items": { - "$ref": "#/components/schemas/Content" - }, - "type": "array", - "description": "Optional. Input only. Immutable. The content to cache." + "topP": { + "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "format": "float", + "type": "number" }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" + "seed": { + "type": "integer", + "format": "int32", + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." }, - "createTime": { - "readOnly": true, - "format": "google-datetime", + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", "type": "string", - "description": "Output only. Creation time of the cache entry." + "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" + ] }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", - "type": "string" + "candidateCount": { + "type": "integer", + "format": "int32", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)" }, - "ttl": { - "type": "string", - "description": "Input only. New TTL for this resource, input only.", - "format": "google-duration" + "temperature": { + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "format": "float", + "type": "number" }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "type": "string", - "description": "Output only. When the cache entry was last updated in UTC time." + "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" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + }, + "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.", + "$ref": "#/components/schemas/ImageConfig" + }, + "topK": { + "format": "int32", + "type": "integer", + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." + }, + "responseMimeType": { + "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.", + "type": "string" + }, + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" } - }, - "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" + } }, - "Permission": { + "InputConfig": { + "type": "object", "properties": { - "emailAddress": { - "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" }, - "role": { + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" + } + }, + "description": "Configures the input to the batch request." + }, + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", + "type": "object", + "properties": { + "taskType": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "deprecated": true, "type": "string", "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." ], - "description": "Required. The role granted by this permission.", "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" ] }, - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only." + "outputDimensionality": { + "deprecated": true, + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "format": "int32", + "type": "integer" }, - "granteeType": { - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." - ], - "description": "Optional. Immutable. The type of the grantee.", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ] + "model": { + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "type": "string" + }, + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" + }, + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" + }, + "title": { + "deprecated": true, + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "type": "string" + } + } + }, + "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": { + "longitude": { + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "format": "double", + "type": "number" + }, + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "type": "number", + "format": "double" } - }, - "type": "object", - "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete" + } }, - "InlinedEmbedContentResponses": { + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", "type": "object", - "description": "The responses to the requests in the batch.", "properties": { - "inlinedResponses": { - "readOnly": true, + "documents": { + "type": "array", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" + "$ref": "#/components/schemas/Document" }, - "type": "array", - "description": "Output only. The responses to the requests in the batch." + "description": "The returned `Document`s." + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "GroundingAttribution": { - "description": "Attribution for a source that contributed to an answer.", + "VoiceConfig": { + "description": "The configuration for the voice to use.", "type": "object", "properties": { - "sourceId": { - "description": "Output only. Identifier for the source contributing to this attribution.", - "$ref": "#/components/schemas/AttributionSourceId", - "readOnly": true - }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" } } }, - "ReviewSnippet": { - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", "type": "object", "properties": { - "googleMapsUri": { - "type": "string", - "description": "A link that corresponds to the user review on Google Maps." - }, - "reviewId": { - "type": "string", - "description": "The ID of the review snippet." + "maxOverlapTokens": { + "type": "integer", + "format": "int32", + "description": "Maximum number of overlapping tokens between two adjacent chunks." }, - "title": { - "type": "string", - "description": "Title of the review." + "maxTokensPerChunk": { + "type": "integer", + "format": "int32", + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow." } } }, - "BatchStats": { + "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": { - "pendingRequestCount": { - "readOnly": true, - "format": "int64", + "endTime": { "type": "string", - "description": "Output only. The number of requests that are still pending processing." + "format": "google-datetime", + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end." }, - "successfulRequestCount": { - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests that were successfully processed.", + "startTime": { + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "format": "google-datetime", "type": "string" + } + } + }, + "McpServer": { + "type": "object", + "properties": { + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "failedRequestCount": { - "type": "string", - "description": "Output only. The number of requests that failed to be processed.", - "readOnly": true, - "format": "int64" - }, - "requestCount": { - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests in the batch.", + "name": { + "description": "The name of the MCPServer.", "type": "string" } }, - "type": "object", - "description": "Stats about the batch." + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6" }, - "CitationMetadata": { + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", "type": "object", - "description": "A collection of source attributions for a piece of content.", "properties": { - "citationSources": { - "items": { - "$ref": "#/components/schemas/CitationSource" - }, - "type": "array", - "description": "Citations to sources for a specific response." + "modality": { + "description": "The modality associated with this token count.", + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ], + "type": "string" + }, + "tokenCount": { + "description": "Number of tokens.", + "format": "int32", + "type": "integer" } } }, - "Maps": { - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", "type": "object", "properties": { - "text": { + "endTime": { + "readOnly": true, + "format": "google-datetime", "type": "string", - "description": "Text description of the place answer." + "description": "Output only. The time at which the batch processing completed." }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" }, - "title": { - "description": "Title of the place.", + "displayName": { + "description": "Required. The user-defined name of this batch.", "type": "string" }, - "uri": { - "type": "string", - "description": "URI reference of the place." + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "placeId": { - "type": "string", - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place." - } - } - }, - "Blob": { - "properties": { - "mimeType": { + "updateTime": { + "readOnly": true, + "format": "google-datetime", "type": "string", - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //" + "description": "Output only. The time at which the batch was last updated." }, - "data": { - "format": "byte", + "priority": { + "format": "int64", "type": "string", - "description": "Raw bytes for media formats." - } - }, - "type": "object", - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field." - }, - "GeneratedFile": { - "properties": { - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." }, - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", - "type": "string" + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/EmbedContentBatchOutput", + "readOnly": true }, "state": { - "description": "Output only. The state of the GeneratedFile.", - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], + "readOnly": true, "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." + "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." ], - "readOnly": true + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "description": "Output only. The state of the batch." }, - "mimeType": { + "createTime": { + "description": "Output only. The time at which the batch was created.", "type": "string", - "description": "MIME type of the generatedFile." - } - }, - "description": "A file generated on behalf of a user.", - "type": "object" - }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", - "type": "object", - "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "readOnly": true, + "format": "google-datetime" }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - } - } - }, - "RetrievalConfig": { - "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "batchStats": { + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/EmbedContentBatchStats", + "readOnly": true }, - "languageCode": { + "name": { + "readOnly": true, "type": "string", - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." } - }, - "type": "object", - "description": "Retrieval config." + } }, - "Content": { - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "type": "object", "properties": { - "role": { - "type": "string", - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset." + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "type": "string" }, - "parts": { + "customMetadata": { "type": "array", - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", "items": { - "$ref": "#/components/schemas/Part" - } + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Custom metadata to be associated with the file." } } }, - "PromptFeedback": { + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", + "type": "object", "properties": { - "safetyRatings": { - "type": "array", - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } + "name": { + "type": "string", + "readOnly": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only." }, - "blockReason": { - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "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" + }, + "granteeType": { + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Represents a user. When set, you must provide email_address for the user.", + "Represents a group. When set, you must provide email_address for the group.", + "Represents access to everyone. No extra information is required." + ], "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" ], + "description": "Optional. Immutable. The type of the grantee." + }, + "role": { + "description": "Required. The role granted by this permission.", "type": "string", "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ], + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" ] } - }, - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", - "type": "object" + } }, - "UsageMetadata": { + "FunctionResponse": { + "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "type": "object", - "description": "Metadata on the generation request's token usage.", "properties": { - "totalTokenCount": { - "format": "int32", - "type": "integer", - "description": "Total token count for the generation request (prompt + thoughts + response candidates)." + "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" }, - "cacheTokensDetails": { - "readOnly": true, + "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.", + "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" + ], + "type": "string" + }, + "response": { + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model. Multimedia can be included by using a subobject containing a single \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "type": "string" + }, + "parts": { + "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/FunctionResponsePart" }, - "type": "array", - "description": "Output only. List of modalities of the cached content in the request input." + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types." }, - "promptTokensDetails": { + "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" + } + } + }, + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", + "type": "object", + "properties": { + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "format": "int64", + "type": "string" + }, + "propertyOrdering": { + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", "type": "array", - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" } }, - "toolUsePromptTokensDetails": { + "anyOf": { + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", "type": "array", - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/Schema" } }, - "thoughtsTokenCount": { - "type": "integer", - "description": "Output only. Number of tokens of thoughts for thinking models.", - "readOnly": true, - "format": "int32" + "maxLength": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum length of the Type.STRING" }, - "candidatesTokensDetails": { - "description": "Output only. List of modalities that were returned in the response.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "properties": { + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" }, - "readOnly": true + "description": "Optional. Properties of Type.OBJECT." }, - "serviceTier": { - "description": "Output only. Service tier of the request.", - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], + "title": { + "description": "Optional. The title of the schema.", + "type": "string" + }, + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" + }, + "minProperties": { + "format": "int64", + "type": "string", + "description": "Optional. Minimum number of the properties for Type.OBJECT." + }, + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", "type": "string", + "format": "int64" + }, + "type": { + "description": "Required. Data type.", "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." ], - "readOnly": true + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" + ], + "type": "string" }, - "promptTokenCount": { - "type": "integer", - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "format": "int32" + "minimum": { + "format": "double", + "type": "number", + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" }, - "cachedContentTokenCount": { - "type": "integer", - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "format": "int32" + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" }, - "candidatesTokenCount": { - "format": "int32", - "description": "Total number of tokens across all the generated response candidates.", - "type": "integer" + "maxProperties": { + "format": "int64", + "type": "string", + "description": "Optional. Maximum number of the properties for Type.OBJECT." }, - "toolUsePromptTokenCount": { - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "type": "integer", - "format": "int32", - "readOnly": true + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" + }, + "maximum": { + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "format": "double", + "type": "number" + }, + "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.", + "type": "string" + }, + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + }, + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." }, - "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.", + "required": { + "description": "Optional. Required properties of Type.OBJECT.", "type": "array", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" } - } - } - }, - "BatchGenerateContentRequest": { - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" - } - }, - "type": "object", - "description": "Request for a `BatchGenerateContent` operation." - }, - "BatchEmbedContentsRequest": { - "properties": { - "requests": { - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", + }, + "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": { - "$ref": "#/components/schemas/EmbedContentRequest" + "type": "string" } } - }, - "type": "object", - "description": "Batch request to get embeddings from the model for a list of prompts." - }, - "BatchEmbedContentsResponse": { - "type": "object", - "description": "The response to a `BatchEmbedContentsRequest`.", - "properties": { - "usageMetadata": { - "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" - }, - "embeddings": { - "items": { - "$ref": "#/components/schemas/ContentEmbedding" - }, - "readOnly": true, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "type": "array" - } } }, - "FileSearch": { + "UploadToFileSearchStoreRequest": { "type": "object", - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "properties": { - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer", - "format": "int32" + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" }, - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "type": "string" + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "customMetadata": { + "description": "Custom metadata to be associated with the data.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/CustomMetadata" } - }, - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" } - } + }, + "description": "Request for `UploadToFileSearchStore`." }, - "GoogleSearch": { + "ImageResponseFormat": { + "description": "Configuration for image output format.", "type": "object", - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "properties": { - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" - }, - "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).", - "$ref": "#/components/schemas/Interval" - } - } - }, - "Candidate": { "properties": { - "urlContextMetadata": { - "description": "Output only. Metadata related to url context retrieval tool.", - "$ref": "#/components/schemas/UrlContextMetadata", - "readOnly": true - }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata", - "readOnly": true - }, - "logprobsResult": { - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "$ref": "#/components/schemas/LogprobsResult", - "readOnly": true - }, - "content": { - "readOnly": true, - "description": "Output only. Generated content returned from the model.", - "$ref": "#/components/schemas/Content" - }, - "citationMetadata": { - "readOnly": true, - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", - "$ref": "#/components/schemas/CitationMetadata" - }, - "finishMessage": { - "readOnly": true, - "type": "string", - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set." - }, - "groundingAttributions": { - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - }, - "readOnly": true, - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "type": "array" - }, - "safetyRatings": { - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "type": "array" - }, - "index": { - "description": "Output only. Index of the candidate in the list of response candidates.", - "type": "integer", - "format": "int32", - "readOnly": true - }, - "finishReason": { - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE", - "ESCALATION" - ], - "readOnly": true, + "delivery": { + "description": "Optional. The delivery mode for the image output.", "type": "string", "x-enum-descriptions": [ "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response.", - "Request was filtered by an escalation rule." + "Image data is returned inline in the response.", + "Image data is returned as a URI." + ], + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" ] }, - "avgLogprobs": { - "type": "number", - "description": "Output only. Average log probability score of the candidate.", - "readOnly": true, - "format": "double" - }, - "tokenCount": { - "format": "int32", - "readOnly": true, - "description": "Output only. Token count for this candidate.", - "type": "integer" - } - }, - "type": "object", - "description": "A response candidate generated from the model." - }, - "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": { - "id": { + "mimeType": { + "description": "Optional. The MIME type of the image output.", "type": "string", - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`." - }, - "response": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model. Multimedia can be included by using a subobject containing a single \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal." - }, - "parts": { - "type": "array", - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - } - }, - "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" - }, - "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" + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JPEG image format." + ], + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "IMAGE_JPEG" + ] }, - "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.", + "aspectRatio": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "1:1 aspect ratio.", + "2:3 aspect ratio.", + "3:2 aspect ratio.", + "3:4 aspect ratio.", + "4:3 aspect ratio.", + "4:5 aspect ratio.", + "5:4 aspect ratio.", + "9:16 aspect ratio.", + "16:9 aspect ratio.", + "21:9 aspect ratio.", + "1:8 aspect ratio.", + "8:1 aspect ratio.", + "1:4 aspect ratio.", + "4:1 aspect ratio." + ], "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" + "ASPECT_RATIO_UNSPECIFIED", + "ASPECT_RATIO_ONE_BY_ONE", + "ASPECT_RATIO_TWO_BY_THREE", + "ASPECT_RATIO_THREE_BY_TWO", + "ASPECT_RATIO_THREE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_THREE", + "ASPECT_RATIO_FOUR_BY_FIVE", + "ASPECT_RATIO_FIVE_BY_FOUR", + "ASPECT_RATIO_NINE_BY_SIXTEEN", + "ASPECT_RATIO_SIXTEEN_BY_NINE", + "ASPECT_RATIO_TWENTY_ONE_BY_NINE", + "ASPECT_RATIO_ONE_BY_EIGHT", + "ASPECT_RATIO_EIGHT_BY_ONE", + "ASPECT_RATIO_ONE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_ONE" ], "type": "string", + "description": "Optional. The aspect ratio for the image output." + }, + "imageSize": { + "description": "Optional. The size of the image output.", + "type": "string", "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." + "Default value. This value is unused.", + "512px image size.", + "1K image size.", + "2K image size.", + "4K image size." + ], + "enum": [ + "IMAGE_SIZE_UNSPECIFIED", + "IMAGE_SIZE_FIVE_TWELVE", + "IMAGE_SIZE_ONE_K", + "IMAGE_SIZE_TWO_K", + "IMAGE_SIZE_FOUR_K" ] } } }, - "PrebuiltVoiceConfig": { + "ListFileSearchStoresResponse": { + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "type": "object", - "description": "The configuration for the prebuilt speaker to use.", "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", + "fileSearchStores": { + "type": "array", + "items": { + "$ref": "#/components/schemas/FileSearchStore" + }, + "description": "The returned rag_stores." + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" } } }, - "AsyncBatchEmbedContentRequest": { + "Web": { + "type": "object", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "uri": { + "type": "string", + "readOnly": true, + "description": "Output only. URI reference of the chunk." + }, + "title": { + "description": "Output only. Title of the chunk.", + "type": "string", + "readOnly": true } }, - "type": "object", - "description": "Request for an `AsyncBatchEmbedContent` operation." + "description": "Chunk from the web." }, - "CountTokensRequest": { + "InlinedEmbedContentResponses": { + "type": "object", "properties": { - "contents": { + "inlinedResponses": { + "readOnly": true, + "type": "array", "items": { - "$ref": "#/components/schemas/Content" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" }, - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", - "type": "array" - }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" + "description": "Output only. The responses to the requests in the batch." } }, - "type": "object", - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`." + "description": "The responses to the requests in the batch." }, - "ListTunedModelsResponse": { - "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "type": "object", "properties": { - "tunedModels": { - "description": "The returned Models.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TunedModel" - } + "source": { + "type": "string", + "readOnly": true, + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`" }, - "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" + "chunk": { + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "type": "string", + "readOnly": true } } }, - "VideoMetadata": { - "deprecated": true, + "SearchEntryPoint": { + "description": "Google search entry point.", + "type": "object", "properties": { - "endOffset": { - "description": "Optional. The end offset of the video.", - "type": "string", - "format": "google-duration" - }, - "startOffset": { - "description": "Optional. The start offset of the video.", - "type": "string", - "format": "google-duration" + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "type": "string" }, - "fps": { - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "type": "number", - "format": "double" + "sdkBlob": { + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "format": "byte", + "type": "string" } - }, - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", - "type": "object" + } }, - "VoiceConfig": { + "RegisterFilesResponse": { + "type": "object", "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" + "files": { + "type": "array", + "items": { + "$ref": "#/components/schemas/File" + }, + "description": "The registered files to be used when calling GenerateContent." } }, - "type": "object", - "description": "The configuration for the voice to use." + "description": "Response for `RegisterFiles`." }, - "CustomLongRunningOperation": { + "GroundingMetadata": { + "type": "object", "properties": { - "response": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." + "webSearchQueries": { + "description": "Web search queries for the following-up web search.", + "type": "array", + "items": { + "type": "string" + } }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" }, - "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}`.", + "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" }, - "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" + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "type": "array", + "items": { + "type": "string" + } }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "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": { + "$ref": "#/components/schemas/GroundingChunk" } + }, + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" + }, + "groundingSupports": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "description": "List of grounding support." } }, - "type": "object" + "description": "Metadata returned to client when grounding is enabled." }, - "InputEmbedContentConfig": { + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "type": "object", "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "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" }, - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." + "corpora": { + "description": "The returned corpora.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Corpus" + } } - }, - "type": "object", - "description": "Configures the input to the batch request." + } }, - "CountTokensResponse": { + "Status": { + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", + "type": "object", "properties": { - "cachedContentTokenCount": { + "code": { "type": "integer", - "description": "Number of tokens in the cached part of the prompt (the cached content).", - "format": "int32" + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code." }, - "cacheTokensDetails": { + "details": { + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "type": "array", - "description": "Output only. List of modalities that were processed in the cached content.", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } } }, - "totalTokens": { - "format": "int32", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "type": "integer" + "message": { + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "type": "string" + } + } + }, + "RetrievalConfig": { + "type": "object", + "properties": { + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" }, - "promptTokensDetails": { + "languageCode": { + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "type": "string" + } + }, + "description": "Retrieval config." + }, + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", + "type": "object", + "properties": { + "examples": { + "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/TuningExample" }, - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array" + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type." } - }, + } + }, + "Empty": { "type": "object", - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`." + "properties": {}, + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }" }, - "SpeakerVoiceConfig": { + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "type": "object", "properties": { - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" }, - "speaker": { - "type": "string", - "description": "Required. The name of the speaker to use. Should be the same as in the prompt." + "timeRangeFilter": { + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", + "$ref": "#/components/schemas/Interval" } - }, - "description": "The configuration for a single speaker in a multi speaker setup.", - "type": "object" + } }, - "ModelStatus": { - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", + "VideoMetadata": { + "deprecated": true, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", "type": "object", "properties": { - "modelStage": { + "startOffset": { + "format": "google-duration", "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." - ], - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], - "description": "The stage of the underlying model.", - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ] + "description": "Optional. The start offset of the video." }, - "retirementTime": { + "endOffset": { "type": "string", - "description": "The time at which the model will be retired.", - "format": "google-datetime" + "format": "google-duration", + "description": "Optional. The end offset of the video." }, - "message": { - "description": "A message explaining the model status.", - "type": "string" + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "format": "double", + "type": "number" } } }, - "GroundingChunkCustomMetadata": { + "InlinedEmbedContentRequests": { + "type": "object", "properties": { - "numericValue": { - "format": "float", - "type": "number", - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." - }, - "key": { - "description": "The key of the metadata.", - "type": "string" - }, - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" - }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" + "requests": { + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "description": "Required. The requests to be processed in the batch." } }, - "description": "User provided metadata about the GroundingFact.", - "type": "object" + "description": "The requests to be processed in the batch if provided as part of the batch creation request." }, - "Part": { + "ImageSearch": { + "description": "Image search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "GenerateContentRequest": { + "type": "object", "properties": { - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" + "contents": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + }, + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request." }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "partMetadata": { - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." + "tools": { + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" } }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" - }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" - }, - "functionResponse": { - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", - "$ref": "#/components/schemas/FunctionResponse" - }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" }, - "thoughtSignature": { - "format": "byte", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", "type": "string" }, - "toolCall": { - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", - "$ref": "#/components/schemas/ToolCall" - }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" - }, - "text": { - "description": "Inline text.", - "type": "string" + "toolConfig": { + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", + "$ref": "#/components/schemas/ToolConfig" }, - "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" - } - }, - "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" - }, - "FunctionCallingConfig": { - "properties": { - "mode": { - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ], - "type": "string", - "x-enum-descriptions": [ - "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\"." - ] + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" }, - "allowedFunctionNames": { + "safetySettings": { "type": "array", - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "items": { - "type": "string" - } - } - }, - "description": "Configuration for specifying function calling behavior.", - "type": "object" - }, - "LogprobsResult": { - "description": "Logprobs Result", - "type": "object", - "properties": { - "topCandidates": { "items": { - "$ref": "#/components/schemas/TopCandidates" + "$ref": "#/components/schemas/SafetySetting" }, - "description": "Length = total number of decoding steps.", - "type": "array" + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications." }, - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } - }, - "logProbabilitySum": { - "type": "number", - "description": "Sum of log probabilities for all tokens.", - "format": "float" - } - } - }, - "ImageConfig": { - "description": "Config for image generation features.", - "type": "object", - "properties": { - "aspectRatio": { - "type": "string", - "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided." - }, - "imageSize": { + "serviceTier": { + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ], "type": "string", - "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`." + "description": "Optional. The service tier of the request." } - } + }, + "description": "Request to generate a completion from the model." }, - "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.", + "TextResponseFormat": { "type": "object", "properties": { - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" - }, - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" - }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" + "mimeType": { + "description": "Optional. The MIME type of the text output.", + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JSON output format.", + "Plain text output format." + ], + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "APPLICATION_JSON", + "TEXT_PLAIN" + ] }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "schema": { + "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." } - } + }, + "description": "Configuration for text output format." }, - "Image": { - "description": "Chunk from image search.", + "VideoFileMetadata": { "type": "object", "properties": { - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", - "type": "string" - }, - "sourceUri": { - "type": "string", - "description": "The web page URI for attribution." - }, - "title": { - "type": "string", - "description": "The title of the web page that the image is from." - }, - "imageUri": { + "videoDuration": { "type": "string", - "description": "The image asset URL." + "format": "google-duration", + "description": "Duration of the video." } - } + }, + "description": "Metadata for a video `File`." }, - "EmbedContentBatchOutput": { + "LogprobsResultCandidate": { + "type": "object", "properties": { - "responsesFile": { - "readOnly": true, - "type": "string", - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." + "logProbability": { + "type": "number", + "format": "float", + "description": "The candidate's log probability." }, - "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" + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" + }, + "tokenId": { + "format": "int32", + "type": "integer", + "description": "The candidate\u2019s token id value." } }, - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", - "type": "object" + "description": "Candidate for the logprobs token and score." }, "Hyperparameters": { "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "type": "object", "properties": { - "learningRateMultiplier": { + "learningRate": { "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" + "type": "number", + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples." }, "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" + "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." + }, + "learningRateMultiplier": { + "type": "number", + "format": "float", + "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used." }, "batchSize": { - "format": "int32", "type": "integer", + "format": "int32", "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples." - }, - "learningRate": { - "format": "float", - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "type": "number" } } }, - "TunedModelSource": { + "ListPermissionsResponse": { + "type": "object", "properties": { - "baseModel": { - "readOnly": true, - "type": "string", - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" + "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" }, - "tunedModel": { - "type": "string", - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`" + "permissions": { + "description": "Returned permissions.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Permission" + } } }, + "description": "Response from `ListPermissions` containing a paginated list of permissions." + }, + "UrlContextMetadata": { "type": "object", - "description": "Tuned model as a source for training a new model." + "properties": { + "urlMetadata": { + "description": "List of url context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/UrlMetadata" + } + } + }, + "description": "Metadata related to url context retrieval tool." }, - "ToolConfig": { + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "type": "object", "properties": { - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" + "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" }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" + "data": { + "format": "byte", + "type": "string", + "description": "Raw bytes for media formats." + } + } + }, + "FunctionResponsePart": { + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "type": "object", + "properties": { + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" + } + } + }, + "InputEmbedContentConfig": { + "type": "object", + "properties": { + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" }, - "includeServerSideToolInvocations": { - "type": "boolean", - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions." + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" } }, + "description": "Configures the input to the batch request." + }, + "TuningExample": { + "description": "A single example for tuning.", "type": "object", - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request." + "properties": { + "textInput": { + "description": "Optional. Text model input.", + "type": "string" + }, + "output": { + "description": "Required. The expected model output.", + "type": "string" + } + } }, "GoogleMaps": { "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "type": "object", "properties": { "enableWidget": { - "type": "boolean", - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response." + "description": "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" } } }, - "TuningSnapshot": { + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "description": "Grounding support.", "type": "object", - "description": "Record for a single tuning step.", "properties": { - "step": { - "format": "int32", + "renderedParts": { + "type": "array", + "items": { + "format": "int32", + "type": "integer" + }, "readOnly": true, - "description": "Output only. The tuning step.", - "type": "integer" + "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." }, - "meanLoss": { - "description": "Output only. The mean loss of the training examples for this step.", - "type": "number", - "format": "float", - "readOnly": true + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" }, - "epoch": { - "format": "int32", - "readOnly": true, - "description": "Output only. The epoch this step was part of.", - "type": "integer" + "groundingChunkIndices": { + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "type": "array", + "items": { + "type": "integer", + "format": "int32" + } }, - "computeTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp when this metric was computed.", - "type": "string" + "confidenceScores": { + "type": "array", + "items": { + "type": "number", + "format": "float" + }, + "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices." } } }, - "EmbedContentResponse": { - "properties": { - "usageMetadata": { - "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" - }, - "embedding": { - "description": "Output only. The embedding generated from the input content.", - "$ref": "#/components/schemas/ContentEmbedding", - "readOnly": true - } - }, + "CitationSource": { "type": "object", - "description": "The response to an `EmbedContentRequest`." - }, - "Web": { "properties": { - "uri": { - "readOnly": true, - "type": "string", - "description": "Output only. URI reference of the chunk." + "startIndex": { + "type": "integer", + "format": "int32", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes." }, - "title": { - "readOnly": true, - "type": "string", - "description": "Output only. Title of the chunk." - } - }, - "type": "object", - "description": "Chunk from the web." - }, - "FunctionResponseBlob": { - "properties": { - "mimeType": { - "type": "string", - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats)." + "endIndex": { + "format": "int32", + "type": "integer", + "description": "Optional. End of the attributed segment, exclusive." + }, + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" }, - "data": { - "format": "byte", - "type": "string", - "description": "Raw bytes for media formats." + "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" } }, - "type": "object", - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field." + "description": "A citation to a source for a portion of a specific response." }, - "ListFileSearchStoresResponse": { + "ReviewSnippet": { + "type": "object", "properties": { - "fileSearchStores": { - "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "description": "The returned rag_stores.", - "type": "array" + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", + "type": "string" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "reviewId": { + "description": "The ID of the review snippet.", + "type": "string" + }, + "title": { + "description": "Title of the review.", "type": "string" } }, - "type": "object", - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." }, - "ListFilesResponse": { + "CustomLongRunningOperation": { "type": "object", - "description": "Response for `ListFiles`.", "properties": { - "files": { - "description": "The list of `File`s.", - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - } + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, + "response": { + "type": "object", + "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`." + }, + "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" + }, + "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." + } } } }, - "CreateFileResponse": { + "ModelStatus": { + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", "type": "object", - "description": "Response for `CreateFile`.", - "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" - } - } - }, - "GenerateContentRequest": { "properties": { - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "message": { + "description": "A message explaining the model status.", "type": "string" }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "contents": { - "items": { - "$ref": "#/components/schemas/Content" - }, - "type": "array", - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request." - }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" - }, - "serviceTier": { - "description": "Optional. The service tier of the request.", + "modelStage": { + "x-enum-descriptions": [ + "Unspecified model stage.", + "The underlying model is subject to lots of tunings.", + "Models in this stage are for experimental purposes only.", + "Models in this stage are more mature than experimental models.", + "Models in this stage are considered stable and ready for production use.", + "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", + "Models in this stage are deprecated. These models cannot be used.", + "Models in this stage are retired. These models cannot be used." + ], "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" ], "type": "string", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." + "description": "The stage of the underlying model.", + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false ] }, - "store": { - "type": "boolean", - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." + "retirementTime": { + "type": "string", + "format": "google-datetime", + "description": "The time at which the model will be retired." + } + } + }, + "ChunkingConfig": { + "type": "object", + "properties": { + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" + } + }, + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto" + }, + "StreamableHttpTransport": { + "type": "object", + "properties": { + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" }, - "tools": { - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" + "headers": { + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object", + "additionalProperties": { + "type": "string" } }, - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" + "sseReadTimeout": { + "description": "Timeout for SSE read operations.", + "type": "string", + "format": "google-duration" }, - "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}`", + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", "type": "string" }, - "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.", + "timeout": { + "description": "HTTP timeout for regular operations.", + "format": "google-duration", + "type": "string" + } + }, + "description": "A transport that can stream HTTP requests and responses. Next ID: 6" + }, + "ListGeneratedFilesResponse": { + "type": "object", + "properties": { + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", "type": "array", "items": { - "$ref": "#/components/schemas/SafetySetting" + "$ref": "#/components/schemas/GeneratedFile" } + }, + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "type": "string" } }, - "description": "Request to generate a completion from the model.", - "type": "object" + "description": "Response for `ListGeneratedFiles`." }, - "UrlContext": { - "properties": {}, + "FileData": { "type": "object", - "description": "Tool to support URL context retrieval." - }, - "GoogleSearchRetrieval": { "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" + }, + "fileUri": { + "description": "Required. URI.", + "type": "string" } }, - "description": "Tool to retrieve public web data for grounding, powered by Google.", - "type": "object" + "description": "URI based data." }, - "ToolCall": { + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", + "type": "object", "properties": { - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" + }, + "key": { + "description": "Required. The key of the metadata to store.", "type": "string" }, - "args": { - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "stringValue": { + "description": "The string value of the metadata to store.", + "type": "string" }, - "toolType": { - "description": "Required. The type of tool that was called.", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "type": "string", - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ] + "numericValue": { + "type": "number", + "format": "float", + "description": "The numeric value of the metadata to store." } - }, - "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" + } + }, + "TranslationConfig": { + "description": "Config for translation features.", + "type": "object", + "properties": { + "echoTargetLanguage": { + "description": "Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language.", + "type": "boolean" + }, + "targetLanguageCode": { + "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", + "type": "string" + } + } }, - "StreamableHttpTransport": { + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "type": "object", - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", "properties": { - "timeout": { - "description": "HTTP timeout for regular operations.", - "type": "string", - "format": "google-duration" - }, - "terminateOnClose": { - "type": "boolean", - "description": "Whether to close the client session when the transport closes." - }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "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" }, - "headers": { - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "args": { "type": "object", "additionalProperties": { - "type": "string" - } + "description": "Properties of the object." + }, + "description": "Optional. The function parameters and values in JSON object format." }, - "sseReadTimeout": { - "type": "string", - "description": "Timeout for SSE read operations.", - "format": "google-duration" + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "type": "string" } } }, - "Corpus": { + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", + "type": "object", "properties": { - "updateTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "type": "string" - }, - "createTime": { - "type": "string", - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "readOnly": true, - "format": "google-datetime" - }, - "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 - }, - "displayName": { - "type": "string", - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "type": "array", + "items": { + "type": "string" + } } - }, - "type": "object", - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora." + } }, - "GoogleAiGenerativelanguageV1betaSegment": { + "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": { - "partIndex": { - "type": "integer", - "description": "The index of a Part object within its parent Content object.", - "format": "int32" + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" }, - "startIndex": { - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "type": "integer", - "format": "int32" + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" }, - "text": { - "type": "string", - "description": "The text corresponding to the segment from the response." + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" }, - "endIndex": { - "type": "integer", - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "format": "int32" + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" } - }, - "type": "object", - "description": "Segment of the content." + } }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", + "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": { - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", - "type": "string" + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" }, - "title": { - "type": "string", - "description": "Optional. Title of the document." + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - }, + "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", - "description": "Optional. User-provided metadata about the retrieved context." + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + } }, - "pageNumber": { - "description": "Optional. Page number of the retrieved context, if applicable.", - "type": "integer", - "format": "int32" + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" }, - "mediaId": { - "type": "string", - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}" + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" }, - "text": { - "type": "string", - "description": "Optional. Text of the chunk." + "mcpServers": { + "description": "Optional. MCP Servers to connect to.", + "type": "array", + "items": { + "$ref": "#/components/schemas/McpServer" + } + }, + "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" } } }, - "Empty": { - "properties": {}, - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "type": "object" + "MultiSpeakerVoiceConfig": { + "type": "object", + "properties": { + "speakerVoiceConfigs": { + "type": "array", + "items": { + "$ref": "#/components/schemas/SpeakerVoiceConfig" + }, + "description": "Required. All the enabled speaker voices." + } + }, + "description": "The configuration for the multi-speaker setup." }, - "ImageResponseFormat": { + "ContentEmbedding": { + "type": "object", "properties": { - "mimeType": { - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "JPEG image format." - ], - "description": "Optional. The MIME type of the image output.", - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "IMAGE_JPEG" - ] - }, - "aspectRatio": { - "description": "Optional. The aspect ratio for the image output.", - "enum": [ - "ASPECT_RATIO_UNSPECIFIED", - "ASPECT_RATIO_ONE_BY_ONE", - "ASPECT_RATIO_TWO_BY_THREE", - "ASPECT_RATIO_THREE_BY_TWO", - "ASPECT_RATIO_THREE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_THREE", - "ASPECT_RATIO_FOUR_BY_FIVE", - "ASPECT_RATIO_FIVE_BY_FOUR", - "ASPECT_RATIO_NINE_BY_SIXTEEN", - "ASPECT_RATIO_SIXTEEN_BY_NINE", - "ASPECT_RATIO_TWENTY_ONE_BY_NINE", - "ASPECT_RATIO_ONE_BY_EIGHT", - "ASPECT_RATIO_EIGHT_BY_ONE", - "ASPECT_RATIO_ONE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_ONE" - ], - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "1:1 aspect ratio.", - "2:3 aspect ratio.", - "3:2 aspect ratio.", - "3:4 aspect ratio.", - "4:3 aspect ratio.", - "4:5 aspect ratio.", - "5:4 aspect ratio.", - "9:16 aspect ratio.", - "16:9 aspect ratio.", - "21:9 aspect ratio.", - "1:8 aspect ratio.", - "8:1 aspect ratio.", - "1:4 aspect ratio.", - "4:1 aspect ratio." - ] - }, - "imageSize": { - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "512px image size.", - "1K image size.", - "2K image size.", - "4K image size." - ], - "description": "Optional. The size of the image output.", - "enum": [ - "IMAGE_SIZE_UNSPECIFIED", - "IMAGE_SIZE_FIVE_TWELVE", - "IMAGE_SIZE_ONE_K", - "IMAGE_SIZE_TWO_K", - "IMAGE_SIZE_FOUR_K" - ] + "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" + } }, - "delivery": { - "description": "Optional. The delivery mode for the image output.", - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Image data is returned inline in the response.", - "Image data is returned as a URI." - ] + "shape": { + "type": "array", + "items": { + "format": "int32", + "type": "integer" + }, + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048])." } }, - "type": "object", - "description": "Configuration for image output format." + "description": "A list of floats representing an embedding." }, - "File": { + "GoogleAiGenerativelanguageV1betaSegment": { "type": "object", - "description": "A file uploaded to the API. Next ID: 15", "properties": { - "sha256Hash": { - "type": "string", - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "readOnly": true, - "format": "byte" + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "format": "int32", + "type": "integer" }, - "error": { - "readOnly": true, - "description": "Output only. Error status if File processing failed.", - "$ref": "#/components/schemas/Status" + "endIndex": { + "format": "int32", + "type": "integer", + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero." }, - "createTime": { - "type": "string", - "description": "Output only. The timestamp of when the `File` was created.", - "readOnly": true, - "format": "google-datetime" + "startIndex": { + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "format": "int32", + "type": "integer" }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "type": "string", - "description": "Output only. The timestamp of when the `File` was last updated." + "text": { + "description": "The text corresponding to the segment from the response.", + "type": "string" + } + }, + "description": "Segment of the content." + }, + "InlinedRequest": { + "description": "The request to be processed in the batch.", + "type": "object", + "properties": { + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" }, - "downloadUri": { + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request." + } + } + }, + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", + "type": "object", + "properties": { + "promptTokenCount": { + "type": "integer", "readOnly": true, - "type": "string", - "description": "Output only. The download uri of the `File`." + "format": "int32", + "description": "Output only. Number of tokens in the prompt." }, - "sizeBytes": { - "format": "int64", + "promptTokenDetails": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, "readOnly": true, - "description": "Output only. Size of the file in bytes.", - "type": "string" - }, - "state": { - "description": "Output only. Processing state of the File.", - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ], - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ], - "readOnly": true - }, - "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" + "description": "Output only. List of modalities that were processed in the request input." + } + } + }, + "AttributionSourceId": { + "type": "object", + "properties": { + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" }, - "mimeType": { + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" + } + }, + "description": "Identifier for the source contributing to this attribution." + }, + "GoogleSearchRetrieval": { + "type": "object", + "properties": { + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" + } + }, + "description": "Tool to retrieve public web data for grounding, powered by Google." + }, + "Dataset": { + "description": "Dataset for training or validation.", + "type": "object", + "properties": { + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" + } + } + }, + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "type": "object", + "properties": { + "responsesFile": { "readOnly": true, - "description": "Output only. MIME type of the file.", - "type": "string" - }, - "source": { - "description": "Source of the File.", - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "type": "string", - "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." - ] - }, - "name": { "type": "string", - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`" + "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." }, - "uri": { - "type": "string", - "description": "Output only. The uri of the `File`.", + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedResponses", "readOnly": true - }, - "videoMetadata": { - "readOnly": true, - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata" - }, - "expirationTime": { - "type": "string", - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "readOnly": true, - "format": "google-datetime" } } }, "SpeechConfig": { + "description": "Config for speech generation and transcription.", + "type": "object", "properties": { - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", + "type": "string" }, "multiSpeakerVoiceConfig": { "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" }, - "languageCode": { - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", - "type": "string" + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" } - }, - "description": "Config for speech generation and transcription.", - "type": "object" + } }, - "SafetyRating": { - "properties": { - "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." - ], - "description": "Required. The category for this rating.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ] - }, - "probability": { - "type": "string", - "x-enum-descriptions": [ - "Probability is unspecified.", - "Content has a negligible chance of being unsafe.", - "Content has a low chance of being unsafe.", - "Content has a medium chance of being unsafe.", - "Content has a high chance of being unsafe." - ], - "description": "Required. The probability of harm for this content.", - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ] - }, - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" + "TransferOwnershipResponse": { + "type": "object", + "properties": {}, + "description": "Response from `TransferOwnership`." + }, + "AsyncBatchEmbedContentRequest": { + "type": "object", + "properties": { + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" } }, - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", - "type": "object" + "description": "Request for an `AsyncBatchEmbedContent` operation." }, - "PlaceAnswerSources": { + "ListFilesResponse": { "type": "object", - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "properties": { - "reviewSnippets": { + "files": { "type": "array", - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", "items": { - "$ref": "#/components/schemas/ReviewSnippet" - } + "$ref": "#/components/schemas/File" + }, + "description": "The list of `File`s." + }, + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "type": "string" } - } + }, + "description": "Response for `ListFiles`." }, - "CustomMetadata": { + "Part": { + "type": "object", "properties": { - "stringValue": { - "description": "The string value of the metadata to store.", + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "format": "byte", "type": "string" }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" + "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.", + "$ref": "#/components/schemas/ToolCall" }, - "numericValue": { - "format": "float", - "type": "number", - "description": "The numeric value of the metadata to store." + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" }, - "key": { - "type": "string", - "description": "Required. The key of the metadata to store." + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" + }, + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" + }, + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" + }, + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" + }, + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" + }, + "text": { + "description": "Inline text.", + "type": "string" + }, + "partMetadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams." + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "toolResponse": { + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", + "$ref": "#/components/schemas/ToolResponse" + }, + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" } }, - "type": "object", - "description": "User provided metadata stored as key-value pairs." + "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." }, - "CitationSource": { + "EmbedContentConfig": { + "type": "object", "properties": { - "startIndex": { - "format": "int32", - "type": "integer", - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes." + "taskType": { + "type": "string", + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "description": "Optional. The task type of the embedding." }, - "endIndex": { + "outputDimensionality": { "format": "int32", "type": "integer", - "description": "Optional. End of the attributed segment, exclusive." + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end." }, - "uri": { - "type": "string", - "description": "Optional. URI that is attributed as a source for a portion of the text." + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" }, - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" + }, + "title": { + "description": "Optional. The title for the text.", "type": "string" + }, + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" } }, - "description": "A citation to a source for a portion of a specific response.", - "type": "object" + "description": "Configurations for the EmbedContent request." }, - "ListCorporaResponse": { + "ToolCall": { + "type": "object", "properties": { - "corpora": { - "description": "The returned corpora.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Corpus" - } + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "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.", + "toolType": { + "description": "Required. The type of tool that was called.", + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], "type": "string" + }, + "args": { + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } } }, - "type": "object", - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`." + "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`." }, - "UrlContextMetadata": { + "TransferOwnershipRequest": { "type": "object", - "description": "Metadata related to url context retrieval tool.", "properties": { - "urlMetadata": { - "items": { - "$ref": "#/components/schemas/UrlMetadata" - }, - "description": "List of url context.", - "type": "array" + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" } - } + }, + "description": "Request to transfer the ownership of the tuned model." }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", + "BatchEmbedContentsRequest": { "type": "object", "properties": { - "values": { - "description": "The string values of the metadata to store.", + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/EmbedContentRequest" } } - } + }, + "description": "Batch request to get embeddings from the model for a list of prompts." }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", + "GroundingChunkCustomMetadata": { "type": "object", "properties": { - "mimeType": { - "type": "string", - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content." + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data.", - "type": "array" + "numericValue": { + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "format": "float", + "type": "number" }, - "displayName": { - "type": "string", - "description": "Optional. Display name of the created document." + "key": { + "description": "The key of the metadata.", + "type": "string" }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" } - } + }, + "description": "User provided metadata about the GroundingFact." }, - "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.", + "CachedContentUsageMetadata": { "type": "object", "properties": { - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "type": "number", - "format": "double" - }, - "longitude": { - "format": "double", + "totalTokenCount": { + "format": "int32", + "type": "integer", + "description": "Total number of tokens that the cached content consumes." + } + }, + "description": "Metadata on the usage of the cached content." + }, + "RetrievalMetadata": { + "type": "object", + "properties": { + "googleSearchDynamicRetrievalScore": { "type": "number", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." + "format": "float", + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." } - } + }, + "description": "Metadata related to retrieval in the grounding flow." }, - "FunctionDeclaration": { + "TuningSnapshot": { "type": "object", - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "properties": { - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." - }, - "response": { - "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", - "$ref": "#/components/schemas/Schema" - }, - "description": { - "type": "string", - "description": "Required. A brief description of the function." + "step": { + "description": "Output only. The tuning step.", + "type": "integer", + "readOnly": true, + "format": "int32" }, - "name": { - "type": "string", - "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128." + "epoch": { + "description": "Output only. The epoch this step was part of.", + "readOnly": true, + "format": "int32", + "type": "integer" }, - "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.", - "$ref": "#/components/schemas/Schema" + "meanLoss": { + "description": "Output only. The mean loss of the training examples for this step.", + "readOnly": true, + "format": "float", + "type": "number" }, - "behavior": { - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", - "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ], + "computeTime": { + "readOnly": true, + "format": "google-datetime", "type": "string", - "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." - ] - }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." - } - } - }, - "CreateFileRequest": { - "description": "Request for `CreateFile`.", - "type": "object", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" + "description": "Output only. The timestamp when this metric was computed." } - } + }, + "description": "Record for a single tuning step." }, - "ListDocumentsResponse": { + "LogprobsResult": { + "description": "Logprobs Result", "type": "object", - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", "properties": { - "documents": { + "topCandidates": { + "type": "array", "items": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/TopCandidates" }, - "description": "The returned `Document`s.", - "type": "array" + "description": "Length = total number of decoding steps." }, - "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" + "logProbabilitySum": { + "type": "number", + "format": "float", + "description": "Sum of log probabilities for all tokens." + }, + "chosenCandidates": { + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates." } } }, - "GroundingChunkStringList": { + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", + "type": "object", "properties": { - "values": { + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "readOnly": true + }, + "embeddings": { + "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/ContentEmbedding" }, - "description": "The string values of the list.", - "type": "array" + "readOnly": true, + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request." } - }, - "description": "A list of string values.", - "type": "object" + } }, - "TextResponseFormat": { + "SafetySetting": { + "type": "object", "properties": { - "schema": { - "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." + "category": { + "description": "Required. The category for this setting.", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "type": "string" }, - "mimeType": { + "threshold": { "type": "string", "x-enum-descriptions": [ - "Default value. This value is unused.", - "JSON output format.", - "Plain text output format." + "Threshold is unspecified.", + "Content with NEGLIGIBLE will be allowed.", + "Content with NEGLIGIBLE and LOW will be allowed.", + "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", + "All content will be allowed.", + "Turn off the safety filter." ], - "description": "Optional. The MIME type of the text output.", "enum": [ - "MIME_TYPE_UNSPECIFIED", - "APPLICATION_JSON", - "TEXT_PLAIN" - ] - } - }, - "description": "Configuration for text output format.", - "type": "object" - }, - "ListModelsResponse": { - "properties": { - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." - }, - "models": { - "items": { - "$ref": "#/components/schemas/Model" - }, - "type": "array", - "description": "The returned Models." + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" + ], + "description": "Required. Controls the probability threshold at which harm is blocked." } }, - "type": "object", - "description": "Response from `ListModel` containing a paginated list of Models." + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked." }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "ComputerUse": { + "description": "Computer Use tool type.", "type": "object", - "description": "Grounding support.", "properties": { - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" - }, - "confidenceScores": { - "items": { - "format": "float", - "type": "number" - }, - "type": "array", - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices." + "enablePromptInjectionDetection": { + "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", + "type": "boolean" }, - "groundingChunkIndices": { + "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", - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", "items": { - "type": "integer", - "format": "int32" + "type": "string" } }, - "renderedParts": { - "readOnly": true, + "environment": { + "type": "string", + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser.", + "Operates in a mobile environment.", + "Operates in a desktop environment." + ], + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER", + "ENVIRONMENT_MOBILE", + "ENVIRONMENT_DESKTOP" + ], + "description": "Required. The environment being operated." + }, + "disabledSafetyPolicies": { + "type": "array", "items": { - "type": "integer", - "format": "int32" + "x-enum-descriptions": [ + "Unspecified safety policy.", + "Safety policy for financial transactions.", + "Safety policy for sensitive data modification.", + "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", + "Safety policy for account creation.", + "Safety policy for data modification.", + "Safety policy for user consent management.", + "Safety policy for legal terms and agreements." + ], + "enum": [ + "SAFETY_POLICY_UNSPECIFIED", + "FINANCIAL_TRANSACTIONS", + "SENSITIVE_DATA_MODIFICATION", + "COMMUNICATION_TOOL", + "ACCOUNT_CREATION", + "DATA_MODIFICATION", + "USER_CONSENT_MANAGEMENT", + "LEGAL_TERMS_AND_AGREEMENTS" + ], + "type": "string" }, - "type": "array", - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source." + "description": "Optional. Disabled safety policies for computer use." } } }