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 05aecd5f..6b2fd52d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -452,47 +452,47 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Configures the input to the batch request. + /// + /// Required. The user-defined name of this batch. /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Required. The user-defined name of this batch. - /// /// /// Stats about the batch. /// + /// + /// 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. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, string? displayName = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? priority = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - Model = model, - InputConfig = inputConfig, - Output = output, DisplayName = displayName, + Output = output, BatchStats = batchStats, + InputConfig = inputConfig, Priority = priority, + Model = model, }; 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 a68edaac..1e6bf37f 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 @@ -455,20 +455,20 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Configures the input to the batch request. + /// /// /// Stats about the batch. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Configures the input to the batch request. + /// + /// Required. The user-defined name of this batch. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -477,22 +477,22 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( string batchesId, string? updateMask = default, string? priority = default, + global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.BatchStats? batchStats = default, - string? displayName = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, string? model = default, - global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { Priority = priority, + InputConfig = inputConfig, BatchStats = batchStats, - DisplayName = displayName, - Output = output, Model = model, - InputConfig = inputConfig, + Output = output, + DisplayName = displayName, }; return await BatchesUpdateGenerateContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs index 34d7ab99..187ba1a6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs @@ -429,60 +429,60 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// - /// - /// Metadata on the usage of the cached content. + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? ttl = default, + string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, string? expireTime = default, + string? ttl = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? displayName = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - Ttl = ttl, + DisplayName = displayName, + UsageMetadata = usageMetadata, Tools = tools, - Model = model, SystemInstruction = systemInstruction, - Contents = contents, ExpireTime = expireTime, + Ttl = ttl, + Contents = contents, ToolConfig = toolConfig, - DisplayName = displayName, - UsageMetadata = usageMetadata, + Model = model, }; 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 d60ec1df..207fbe8f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs @@ -452,32 +452,32 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// - /// - /// Metadata on the usage of the cached content. + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -485,29 +485,29 @@ partial void ProcessCachedContentsPatchResponseContent( public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? ttl = default, + string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, string? expireTime = default, + string? ttl = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? displayName = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - Ttl = ttl, + DisplayName = displayName, + UsageMetadata = usageMetadata, Tools = tools, - Model = model, SystemInstruction = systemInstruction, - Contents = contents, ExpireTime = expireTime, + Ttl = ttl, + Contents = contents, ToolConfig = toolConfig, - DisplayName = displayName, - UsageMetadata = usageMetadata, + Model = model, }; return await CachedContentsPatchAsync( 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 573143b7..09d821e0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + ServiceTier = serviceTier, + Model = model, + Store = store, + CachedContent = cachedContent, + Contents = contents, + ToolConfig = toolConfig, SafetySettings = safetySettings, GenerationConfig = generationConfig, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - Contents = contents, - ServiceTier = serviceTier, - Store = store, - Model = model, + Tools = tools, }; return await DynamicGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs index 82c3754d..2e45da84 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + ServiceTier = serviceTier, + Model = model, + Store = store, + CachedContent = cachedContent, + Contents = contents, + ToolConfig = toolConfig, SafetySettings = safetySettings, GenerationConfig = generationConfig, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - Contents = contents, - ServiceTier = serviceTier, - Store = store, - Model = model, + Tools = tools, }; return await DynamicStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 27c9f812..831d806f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -379,66 +379,66 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + ServiceTier = serviceTier, + Model = model, + Store = store, + CachedContent = cachedContent, + Contents = contents, + ToolConfig = toolConfig, SafetySettings = safetySettings, GenerationConfig = generationConfig, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - Contents = contents, - ServiceTier = serviceTier, - Store = store, - Model = model, + Tools = tools, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs index 65037548..22ea3ac6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs @@ -429,25 +429,25 @@ partial void ProcessFileSearchStoresCreateResponseContent( /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The 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.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs index 0d754df5..5f0bf89e 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 @@ -442,12 +442,12 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// /// 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. /// + /// + /// Custom metadata to be associated with the data. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -457,8 +457,8 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, string? mimeType = default, - global::System.Collections.Generic.IList? customMetadata = default, string? displayName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) @@ -466,8 +466,8 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { MimeType = mimeType, - CustomMetadata = customMetadata, DisplayName = displayName, + CustomMetadata = customMetadata, ChunkingConfig = chunkingConfig, }; 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 d9ef85ef..7cfc72e8 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 @@ -441,31 +441,31 @@ partial void ProcessModelsEmbedContentResponseContent( /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Configurations for the EmbedContent request. /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, string? model = default, + global::Google.Gemini.Content? content = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { - Content = content, EmbedContentConfig = embedContentConfig, Model = model, + Content = content, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index d9916683..21dab4e0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + ServiceTier = serviceTier, + Model = model, + Store = store, + CachedContent = cachedContent, + Contents = contents, + ToolConfig = toolConfig, SafetySettings = safetySettings, GenerationConfig = generationConfig, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - Contents = contents, - ServiceTier = serviceTier, - Store = store, - Model = model, + Tools = tools, }; return await ModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs index 11e5a980..c28857d7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + ServiceTier = serviceTier, + Model = model, + Store = store, + CachedContent = cachedContent, + Contents = contents, + ToolConfig = toolConfig, SafetySettings = safetySettings, GenerationConfig = generationConfig, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - Contents = contents, - ServiceTier = serviceTier, - Store = store, - Model = model, + Tools = tools, }; return await ModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs index ff912dcc..6570561f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -379,66 +379,66 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + ServiceTier = serviceTier, + Model = model, + Store = store, + CachedContent = cachedContent, + Contents = contents, + ToolConfig = toolConfig, SafetySettings = safetySettings, GenerationConfig = generationConfig, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - Contents = contents, - ServiceTier = serviceTier, - Store = store, - Model = model, + Tools = tools, }; var __enumerable = ModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs index aedb6b71..3c1c3de7 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 @@ -454,20 +454,20 @@ partial void ProcessTunedModelsCreateResponseContent( /// /// 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. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -478,11 +478,11 @@ partial void ProcessTunedModelsCreateResponseContent( int? topK = default, float? temperature = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, + float? topP = default, string? displayName = default, string? baseModel = default, - float? topP = default, - global::Google.Gemini.TuningTask? tuningTask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { @@ -492,11 +492,11 @@ partial void ProcessTunedModelsCreateResponseContent( TopK = topK, Temperature = temperature, TunedModelSource = tunedModelSource, + ReaderProjectNumbers = readerProjectNumbers, + TuningTask = tuningTask, + TopP = topP, DisplayName = displayName, BaseModel = baseModel, - TopP = topP, - TuningTask = tuningTask, - ReaderProjectNumbers = readerProjectNumbers, }; 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 fafc7b8b..125f6dc6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + ServiceTier = serviceTier, + Model = model, + Store = store, + CachedContent = cachedContent, + Contents = contents, + ToolConfig = toolConfig, SafetySettings = safetySettings, GenerationConfig = generationConfig, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - Contents = contents, - ServiceTier = serviceTier, - Store = store, - Model = model, + Tools = tools, }; return await TunedModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs index 984082a6..903a04da 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 @@ -464,20 +464,20 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// 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. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -489,11 +489,11 @@ partial void ProcessTunedModelsPatchResponseContent( int? topK = default, float? temperature = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, + float? topP = default, string? displayName = default, string? baseModel = default, - float? topP = default, - global::Google.Gemini.TuningTask? tuningTask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { @@ -503,11 +503,11 @@ partial void ProcessTunedModelsPatchResponseContent( TopK = topK, Temperature = temperature, TunedModelSource = tunedModelSource, + ReaderProjectNumbers = readerProjectNumbers, + TuningTask = tuningTask, + TopP = topP, DisplayName = displayName, BaseModel = baseModel, - TopP = topP, - TuningTask = tuningTask, - ReaderProjectNumbers = readerProjectNumbers, }; return await TunedModelsPatchAsync( 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 22d1e716..6e04c151 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -439,66 +439,66 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + ServiceTier = serviceTier, + Model = model, + Store = store, + CachedContent = cachedContent, + Contents = contents, + ToolConfig = toolConfig, SafetySettings = safetySettings, GenerationConfig = generationConfig, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - Contents = contents, - ServiceTier = serviceTier, - Store = store, - Model = model, + Tools = tools, }; return await TunedModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index 37b2ca9e..1b3d9dd0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -379,66 +379,66 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { + ServiceTier = serviceTier, + Model = model, + Store = store, + CachedContent = cachedContent, + Contents = contents, + ToolConfig = toolConfig, SafetySettings = safetySettings, GenerationConfig = generationConfig, - Tools = tools, - ToolConfig = toolConfig, - CachedContent = cachedContent, SystemInstruction = systemInstruction, - Contents = contents, - ServiceTier = serviceTier, - Store = store, - Model = model, + Tools = tools, }; var __enumerable = TunedModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs index f3a1e847..0fcdcc3e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -41,36 +41,36 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Configures the input to the batch request. + /// + /// Required. The user-defined name of this batch. /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Required. The user-defined name of this batch. - /// /// /// Stats about the batch. /// + /// + /// 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. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, string? displayName = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? priority = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 8d2bc7f3..3c2fcbda 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 @@ -44,20 +44,20 @@ public partial interface IGeminiClient /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Configures the input to the batch request. + /// /// /// Stats about the batch. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Configures the input to the batch request. + /// + /// Required. The user-defined name of this batch. /// /// 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, string? priority = default, + global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.BatchStats? batchStats = default, - string? displayName = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, string? model = default, - global::Google.Gemini.InputConfig? inputConfig = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index 0590c0cc..51e3b5a2 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 @@ -31,46 +31,46 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// - /// - /// Metadata on the usage of the cached content. + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? ttl = default, + string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, string? expireTime = default, + string? ttl = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? displayName = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs index d4818b95..2fd5cb29 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 @@ -41,32 +41,32 @@ public partial interface IGeminiClient /// /// /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// - /// - /// Metadata on the usage of the cached content. + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// /// 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? ttl = default, + string? displayName = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, global::System.Collections.Generic.IList? tools = default, - string? model = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, string? expireTime = default, + string? ttl = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, - string? displayName = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs index 49596577..c0b76e6c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs index ff1f7516..30c6643b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs index a0a38550..5016f1f9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.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.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs index 1f0a12e7..eb56a9b7 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 @@ -39,12 +39,12 @@ public partial interface IGeminiClient /// /// 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. /// + /// + /// Custom metadata to be associated with the data. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -54,8 +54,8 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, string? mimeType = default, - global::System.Collections.Generic.IList? customMetadata = default, string? displayName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index a0ce1945..39678846 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs @@ -38,23 +38,23 @@ public partial interface IGeminiClient /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Configurations for the EmbedContent request. /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, string? model = default, + global::Google.Gemini.Content? content = 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 7c4f0f2e..1cacbe02 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs index 0182beba..0c6530b4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs index 581f294b..16fa7924 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs index e10758bc..e2fd79a5 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 @@ -48,20 +48,20 @@ public partial interface IGeminiClient /// /// 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. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -72,11 +72,11 @@ public partial interface IGeminiClient int? topK = default, float? temperature = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, + float? topP = default, string? displayName = default, string? baseModel = default, - float? topP = default, - global::Google.Gemini.TuningTask? tuningTask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = 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 a7e1d2a8..f1ab4cd9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs index 60d80dcf..f65fedb9 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 @@ -53,20 +53,20 @@ public partial interface IGeminiClient /// /// 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. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -78,11 +78,11 @@ public partial interface IGeminiClient int? topK = default, float? temperature = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, + float? topP = default, string? displayName = default, string? baseModel = default, - float? topP = default, - global::Google.Gemini.TuningTask? tuningTask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = 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 a5d4e5e3..6782231e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index 2878bc5a..79763a2e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + string? model = default, + bool? store = default, + string? cachedContent = default, + global::System.Collections.Generic.IList? contents = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? cachedContent = default, global::Google.Gemini.Content? systemInstruction = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - bool? store = default, - string? model = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs index b0bc4f7a..43930412 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,430 +13,430 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - 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.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), 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.BatchGenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatch))] - [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.CachedContentUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [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 21a4ecb4..4c70139a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,163 +28,163 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type0 { get; set; } + public global::Google.Gemini.SpeechConfig? Type0 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type1 { get; set; } + public string? Type1 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type2 { get; set; } + public global::Google.Gemini.VoiceConfig? Type2 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type3 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type3 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type4 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type4 { get; set; } /// /// /// - public int? Type5 { get; set; } + public float? Type5 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type6 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type6 { get; set; } /// /// /// - public string? Type7 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type7 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type8 { get; set; } + public global::System.Collections.Generic.IList? Type8 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type9 { get; set; } + public global::Google.Gemini.Candidate? Type9 { get; set; } /// /// /// - public object? Type10 { get; set; } + public global::Google.Gemini.PromptFeedback? Type10 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type11 { get; set; } + public global::Google.Gemini.ModelStatus? Type11 { get; set; } /// /// /// - public bool? Type12 { get; set; } + public global::Google.Gemini.UsageMetadata? Type12 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type13 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type13 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type14 { get; set; } + public byte[]? Type14 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type15 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type15 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type16 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type16 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type17 { get; set; } + public global::Google.Gemini.TunedModel? Type17 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type18 { get; set; } + public int? Type18 { get; set; } /// /// /// - public global::Google.Gemini.File? Type19 { get; set; } + public global::Google.Gemini.TunedModelSource? Type19 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type20 { get; set; } + public global::System.Collections.Generic.IList? Type20 { get; set; } /// /// /// - public float? Type21 { get; set; } + public global::Google.Gemini.TuningTask? Type21 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type22 { get; set; } + public global::Google.Gemini.TunedModelState? Type22 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type23 { get; set; } + public global::System.Collections.Generic.IList? Type23 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type24 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type24 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type25 { get; set; } + public global::Google.Gemini.UsageMetadataServiceTier? Type25 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type26 { get; set; } + public global::Google.Gemini.ExecutableCode? Type26 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type27 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type27 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type28 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type28 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type29 { get; set; } + public global::System.Collections.Generic.IList? Type29 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type30 { get; set; } + public global::Google.Gemini.GeneratedFile? Type30 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type31 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type31 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type32 { get; set; } + public global::Google.Gemini.File? Type32 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type33 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type33 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type34 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type34 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type35 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type35 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type36 { get; set; } + public global::System.Collections.Generic.IList? Type36 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type37 { get; set; } + public global::System.Collections.Generic.IList? Type37 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type38 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type38 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type39 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type39 { get; set; } /// /// /// @@ -192,287 +192,287 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.ChunkingConfig? Type41 { get; set; } + public global::System.Collections.Generic.IList? Type41 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type42 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type42 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type43 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type43 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type44 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type44 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type45 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type45 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type46 { get; set; } + public global::Google.Gemini.Part? Type46 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type47 { get; set; } + public global::Google.Gemini.FunctionCall? Type47 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type48 { get; set; } + public global::Google.Gemini.ToolResponse? Type48 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type49 { get; set; } + public global::Google.Gemini.FunctionResponse? Type49 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type50 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type50 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type51 { get; set; } + public object? Type51 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type52 { get; set; } + public global::Google.Gemini.FileData? Type52 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type53 { get; set; } + public global::Google.Gemini.VideoMetadata? Type53 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type54 { get; set; } + public global::Google.Gemini.ToolCall? Type54 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type55 { get; set; } + public bool? Type55 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type56 { get; set; } + public global::Google.Gemini.Blob? Type56 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type57 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type57 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type58 { get; set; } + public global::System.Collections.Generic.IList? Type58 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type59 { get; set; } + public global::Google.Gemini.Model? Type59 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type60 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type60 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type61 { get; set; } + public global::System.Collections.Generic.IList? Type61 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type62 { get; set; } + public global::Google.Gemini.Document? Type62 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type63 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type63 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type64 { get; set; } + public global::Google.Gemini.LatLng? Type64 { get; set; } /// /// /// - public double? Type65 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type65 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type66 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type66 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type67 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type67 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type68 { get; set; } + public global::System.Collections.Generic.IList? Type68 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type69 { get; set; } + public global::Google.Gemini.Corpus? Type69 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type70 { get; set; } + public global::Google.Gemini.SearchTypes? Type70 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type71 { get; set; } + public global::Google.Gemini.WebSearch? Type71 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type72 { get; set; } + public global::Google.Gemini.ImageSearch? Type72 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type73 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type73 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadataServiceTier? Type74 { get; set; } + public global::System.Collections.Generic.IList? Type74 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type75 { get; set; } + public global::Google.Gemini.FileSearchStore? Type75 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type76 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type76 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type77 { get; set; } + public global::System.Collections.Generic.IList? Type77 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type78 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type78 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type79 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type79 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type80 { get; set; } + public global::System.Collections.Generic.Dictionary? Type80 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type81 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type81 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type82 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type82 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type83 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type83 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type84 { get; set; } + public global::System.Collections.Generic.IList? Type84 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type85 { get; set; } + public global::System.Collections.Generic.IList? Type85 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type86 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type86 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type87 { get; set; } + public global::Google.Gemini.Dataset? Type87 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type88 { get; set; } + public global::Google.Gemini.Hyperparameters? Type88 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type89 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type89 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type90 { get; set; } + public global::System.Collections.Generic.IList? Type90 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type91 { get; set; } + public global::Google.Gemini.CachedContent? Type91 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type92 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type92 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type93 { get; set; } + public global::Google.Gemini.Schema? Type93 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type94 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type94 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type95 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type95 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type96 { get; set; } + public global::Google.Gemini.Status? Type96 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type97 { get; set; } + public global::System.Collections.Generic.IList? Type97 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type98 { get; set; } + public global::Google.Gemini.UrlContext? Type98 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type99 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type99 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type100 { get; set; } + public global::System.Collections.Generic.IList? Type100 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type101 { get; set; } + public global::Google.Gemini.Permission? Type101 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type102 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type102 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type103 { get; set; } + public global::Google.Gemini.PermissionRole? Type103 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type104 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type104 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type105 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type105 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type106 { get; set; } + public global::System.Collections.Generic.IList? Type106 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type107 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type107 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type108 { get; set; } + public global::Google.Gemini.DocumentState? Type108 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type109 { get; set; } + public global::System.Collections.Generic.IList? Type109 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type110 { get; set; } + public global::Google.Gemini.CustomMetadata? Type110 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type111 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type111 { get; set; } /// /// /// @@ -480,291 +480,291 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.FunctionCall? Type113 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type113 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type114 { get; set; } + public global::System.Collections.Generic.IList? Type114 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type115 { get; set; } + public global::Google.Gemini.TopCandidates? Type115 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type116 { get; set; } + public global::System.Collections.Generic.IList? Type116 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type117 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type117 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type118 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type118 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type119 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type119 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type120 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type120 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type121 { get; set; } + public global::System.Collections.Generic.IList? Type121 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type122 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type122 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type123 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type123 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type124 { get; set; } + public global::System.Collections.Generic.IList? Type124 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type125 { get; set; } + public global::Google.Gemini.UrlMetadata? Type125 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type126 { get; set; } + public global::System.Collections.Generic.IList? Type126 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type127 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type127 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type128 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type128 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type129 { get; set; } + public global::Google.Gemini.Tool? Type129 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type130 { get; set; } + public global::System.Collections.Generic.IList? Type130 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type131 { get; set; } + public global::Google.Gemini.GoogleMaps? Type131 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type132 { get; set; } + public global::Google.Gemini.FileSearch? Type132 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type133 { get; set; } + public global::Google.Gemini.CodeExecution? Type133 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type134 { get; set; } + public global::Google.Gemini.ComputerUse? Type134 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type135 { get; set; } + public global::Google.Gemini.GoogleSearch? Type135 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type136 { get; set; } + public global::System.Collections.Generic.IList? Type136 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type137 { get; set; } + public global::Google.Gemini.McpServer? Type137 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type138 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type138 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type139 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type139 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type140 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type140 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type141 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type141 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type142 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type142 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type143 { get; set; } + public global::Google.Gemini.Content? Type143 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type144 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type144 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type145 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type145 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type146 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type146 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type147 { get; set; } + public global::Google.Gemini.StringList? Type147 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type148 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type148 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type149 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type149 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type150 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type150 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type151 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type151 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type152 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type152 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type153 { get; set; } + public global::Google.Gemini.InputConfig? Type153 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type154 { get; set; } + public global::Google.Gemini.BatchStats? Type154 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type155 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type155 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type156 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type156 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type157 { get; set; } + public global::Google.Gemini.Image? Type157 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type158 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type158 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type159 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type159 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type160 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type160 { get; set; } /// /// /// - public byte[]? Type161 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type161 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type162 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type162 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type163 { get; set; } + public global::System.Collections.Generic.IList? Type163 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type164 { get; set; } + public global::Google.Gemini.ToolConfig? Type164 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type165 { get; set; } + public global::System.Collections.Generic.IList? Type165 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type166 { get; set; } + public global::Google.Gemini.SafetySetting? Type166 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type167 { get; set; } + public global::Google.Gemini.GenerationConfig? Type167 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type168 { get; set; } + public global::System.Collections.Generic.IList? Type168 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type169 { get; set; } + public global::Google.Gemini.FileSource? Type169 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type170 { get; set; } + public global::Google.Gemini.FileState? Type170 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type171 { get; set; } + public double? Type171 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type172 { get; set; } + public global::Google.Gemini.Interval? Type172 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type173 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type173 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type174 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type174 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type175 { get; set; } + public global::Google.Gemini.SafetyRating? Type175 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type176 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type176 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type177 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type177 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type178 { get; set; } + public global::Google.Gemini.TuningExamples? Type178 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type179 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type179 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type180 { get; set; } + public global::Google.Gemini.RetrievedContext? Type180 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type181 { get; set; } + public global::System.Collections.Generic.IList? Type181 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type182 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type182 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type183 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type183 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type184 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type184 { get; set; } /// /// /// @@ -772,383 +772,383 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type186 { get; set; } + public global::Google.Gemini.CitationSource? Type186 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type187 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type187 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type188 { get; set; } + public global::Google.Gemini.Operation? Type188 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type189 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type189 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type190 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type190 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type191 { get; set; } + public global::System.Collections.Generic.IList? Type191 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type193 { get; set; } + public global::Google.Gemini.CitationMetadata? Type193 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type194 { get; set; } + public global::Google.Gemini.LogprobsResult? Type194 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type195 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type195 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type196 { get; set; } + public global::System.Collections.Generic.IList? Type196 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type197 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type197 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type198 { get; set; } + public global::Google.Gemini.InlinedResponse? Type198 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type199 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type199 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type200 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type200 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type201 { get; set; } + public global::Google.Gemini.InlinedRequests? Type201 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type202 { get; set; } + public global::Google.Gemini.InlinedResponses? Type202 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type203 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type203 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type204 { get; set; } + public global::Google.Gemini.ImageConfig? Type204 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type205 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type205 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type206 { get; set; } + public global::Google.Gemini.GroundingChunk? Type206 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type207 { get; set; } + public global::Google.Gemini.Maps? Type207 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type208 { get; set; } + public global::Google.Gemini.Web? Type208 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type209 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type209 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type210 { get; set; } + public global::System.Collections.Generic.IList? Type210 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type211 { get; set; } + public global::System.Collections.Generic.IList? Type211 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type212 { get; set; } + public global::Google.Gemini.TuningExample? Type212 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type213 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type213 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type214 { get; set; } + public global::System.Collections.Generic.IList? Type214 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type215 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type215 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type216 { get; set; } + public global::System.Collections.Generic.IList? Type216 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type217 { get; set; } + public global::System.Collections.Generic.IList? Type217 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type218 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type218 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type219 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type219 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type220 { get; set; } + public global::System.Collections.Generic.IList? Type220 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type221 { get; set; } + public global::System.Collections.Generic.Dictionary? Type221 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type222 { get; set; } + public global::Google.Gemini.SchemaType? Type222 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type223 { get; set; } + public global::Google.Gemini.InlinedRequest? Type223 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type224 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type224 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type225 { get; set; } + public global::System.Collections.Generic.IList? Type225 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type226 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type226 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type228 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type228 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type229 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type229 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type230 { get; set; } + public global::System.Collections.Generic.IList? Type230 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type231 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type231 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type232 { get; set; } + public global::System.Collections.Generic.IList? Type232 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type233 { get; set; } + public global::Google.Gemini.Empty? Type233 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type234 { get; set; } + public global::System.Collections.Generic.IList? Type234 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type235 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type235 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType29 { get; set; } + public global::System.Collections.Generic.List? ListType29 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType38 { get; set; } + public global::System.Collections.Generic.List? ListType38 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType39 { get; set; } + public global::System.Collections.Generic.List? ListType39 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType40 { get; set; } + public global::System.Collections.Generic.List? ListType40 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType41 { get; set; } + public global::System.Collections.Generic.List? ListType41 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType42 { get; set; } + public global::System.Collections.Generic.List? ListType42 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType43 { get; set; } + public global::System.Collections.Generic.List? ListType43 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType44 { get; set; } + public global::System.Collections.Generic.List? ListType44 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs index 1c4f263c..aa89d872 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchEmbedContentsResponse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class BatchEmbedContentsResponse { - /// - /// Metadata on the usage of the embedding request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } - /// /// Output only. The embeddings for each request, in the same order as provided in the batch request.
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class BatchEmbedContentsResponse [global::System.Text.Json.Serialization.JsonPropertyName("embeddings")] public global::System.Collections.Generic.IList? Embeddings { get; set; } + /// + /// Metadata on the usage of the embedding request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.EmbeddingUsageMetadata? UsageMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class BatchEmbedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// Metadata on the usage of the embedding request. - /// /// /// Output only. The embeddings for each request, in the same order as provided in the batch request.
/// Included only in responses /// + /// + /// Metadata on the usage of the embedding request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchEmbedContentsResponse( - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, - global::System.Collections.Generic.IList? embeddings) + global::System.Collections.Generic.IList? embeddings, + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) { - this.UsageMetadata = usageMetadata; this.Embeddings = embeddings; + this.UsageMetadata = usageMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index 8ae62c84..96f5ce94 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 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 in the batch.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// /// Output only. The number of requests that were successfully processed.
@@ -45,14 +45,14 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// /// /// Output only. The number of requests in the batch.
/// Included only in responses /// + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -65,13 +65,13 @@ public sealed partial class BatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? failedRequestCount, string? requestCount, + string? failedRequestCount, string? successfulRequestCount, string? pendingRequestCount) { - this.FailedRequestCount = failedRequestCount; this.RequestCount = requestCount; + this.FailedRequestCount = failedRequestCount; this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs index eb00be81..c7238203 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs @@ -9,29 +9,23 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// Input only. New TTL for this resource, input only. + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// Metadata on the usage of the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } /// - /// Output only. Creation time of the cache entry.
+ /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// 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}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. When the cache entry was last updated in UTC time.
@@ -41,11 +35,10 @@ public sealed partial class CachedContent public string? UpdateTime { get; set; } /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -54,10 +47,11 @@ public sealed partial class CachedContent public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Optional. Input only. Immutable. The content to cache. + /// Output only. Creation time of the cache entry.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { 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. @@ -66,22 +60,28 @@ public sealed partial class CachedContent public string? ExpireTime { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Metadata on the usage of the cached content. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -92,74 +92,74 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Metadata on the usage of the cached content. /// - /// - /// Output only. Creation time of the cache entry.
+ /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// /// /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// + /// 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. /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Output only. Creation time of the cache entry.
+ /// Included only in responses /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// - /// - /// Metadata on the usage of the cached content. + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - string? ttl, - global::System.Collections.Generic.IList? tools, - string? createTime, - string? model, - string? updateTime, + string? displayName, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, string? name, + string? updateTime, + global::System.Collections.Generic.IList? tools, global::Google.Gemini.Content? systemInstruction, - global::System.Collections.Generic.IList? contents, + string? createTime, string? expireTime, + string? ttl, + global::System.Collections.Generic.IList? contents, global::Google.Gemini.ToolConfig? toolConfig, - string? displayName, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata) + string? model) { - this.Ttl = ttl; - this.Tools = tools; - this.CreateTime = createTime; - this.Model = model; - this.UpdateTime = updateTime; + this.DisplayName = displayName; + this.UsageMetadata = usageMetadata; this.Name = name; + this.UpdateTime = updateTime; + this.Tools = tools; this.SystemInstruction = systemInstruction; - this.Contents = contents; + this.CreateTime = createTime; this.ExpireTime = expireTime; + this.Ttl = ttl; + this.Contents = contents; this.ToolConfig = toolConfig; - this.DisplayName = displayName; - this.UsageMetadata = usageMetadata; + this.Model = model; } /// 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 2a155ac4..1fb0f2f8 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 @@ -16,39 +16,29 @@ public sealed partial class Candidate public int? TokenCount { get; set; } /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } - - /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
- /// Included only in responses + /// Metadata returned to client when grounding is enabled. /// - [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("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// 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 + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// /// A collection of source attributions for a piece of content. @@ -57,23 +47,25 @@ public sealed partial class Candidate public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Output only. Index of the candidate in the list of response candidates.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// 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("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// /// Logprobs Result @@ -82,10 +74,18 @@ public sealed partial class Candidate public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// - /// 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; } + + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -100,73 +100,73 @@ public sealed partial class Candidate /// Output only. Token count for this candidate.
/// Included only in responses /// - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses - /// - /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
- /// Included only in responses + /// + /// Metadata returned to client when grounding is enabled. /// - /// - /// Output only. Index of the candidate in the list of response candidates.
+ /// + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Metadata related to url context retrieval tool. /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
- /// Included only in responses + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// /// /// A collection of source attributions for a piece of content. /// - /// - /// 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 /// - /// - /// Metadata returned to client when grounding is enabled. + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// 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 /// /// /// Logprobs Result /// - /// - /// 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 + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( int? tokenCount, - double? avgLogprobs, - global::Google.Gemini.CandidateFinishReason? finishReason, - int? index, - global::Google.Gemini.Content? content, - string? finishMessage, - global::Google.Gemini.CitationMetadata? citationMetadata, - global::System.Collections.Generic.IList? groundingAttributions, global::Google.Gemini.GroundingMetadata? groundingMetadata, + global::System.Collections.Generic.IList? groundingAttributions, + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.CitationMetadata? citationMetadata, + int? index, + double? avgLogprobs, + string? finishMessage, global::Google.Gemini.LogprobsResult? logprobsResult, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata) + global::Google.Gemini.CandidateFinishReason? finishReason, + global::Google.Gemini.Content? content) { this.TokenCount = tokenCount; - this.AvgLogprobs = avgLogprobs; - this.FinishReason = finishReason; - this.Index = index; - this.Content = content; - this.FinishMessage = finishMessage; - this.CitationMetadata = citationMetadata; - this.GroundingAttributions = groundingAttributions; this.GroundingMetadata = groundingMetadata; + this.GroundingAttributions = groundingAttributions; + this.UrlContextMetadata = urlContextMetadata; this.SafetyRatings = safetyRatings; + this.CitationMetadata = citationMetadata; + this.Index = index; + this.AvgLogprobs = avgLogprobs; + this.FinishMessage = finishMessage; this.LogprobsResult = logprobsResult; - this.UrlContextMetadata = urlContextMetadata; + this.FinishReason = finishReason; + this.Content = content; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs index 6d91af4b..1b24d0aa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class CitationSource { - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("license")] - public string? License { get; set; } - /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// @@ -32,6 +26,12 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("license")] + public string? License { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,9 +41,6 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// @@ -53,19 +50,22 @@ public sealed partial class CitationSource /// /// Optional. URI that is attributed as a source for a portion of the text. /// + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - string? license, int? startIndex, int? endIndex, - string? uri) + string? uri, + string? license) { - this.License = license; this.StartIndex = startIndex; this.EndIndex = endIndex; this.Uri = uri; + this.License = license; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs index a0040721..8af2a76f 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; } + /// /// Required. Outcome of the code execution. /// @@ -21,12 +27,6 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public string? Output { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class CodeExecutionResult /// /// Initializes a new instance of the class. /// + /// + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// /// /// Required. Outcome of the code execution. /// /// /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( + string? output, global::Google.Gemini.CodeExecutionResultOutcome? outcome, - string? id, - string? output) + string? id) { + this.Output = output; this.Outcome = outcome; this.Id = id; - this.Output = output; } /// 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 a0c18e6c..ded964d7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -9,17 +9,11 @@ namespace Google.Gemini public sealed partial class Corpus { /// - /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. 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`
@@ -29,11 +23,17 @@ public sealed partial class Corpus public string? Name { get; set; } /// - /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { 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. /// - /// - /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// + /// 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`
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Corpus` was created.
+ /// + /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// + /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? displayName, - string? updateTime, + string? createTime, string? name, - string? createTime) + string? displayName, + string? updateTime) { + this.CreateTime = createTime; + this.Name = name; this.DisplayName = displayName; this.UpdateTime = updateTime; - this.Name = name; - this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index 387bd46b..5459142a 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 @@ -9,16 +9,11 @@ namespace Google.Gemini public sealed partial class CountTokensResponse { /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] - public int? TotalTokens { get; set; } - - /// - /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// /// Output only. List of modalities that were processed in the request input.
@@ -28,11 +23,16 @@ public sealed partial class CountTokensResponse public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] + public int? TotalTokens { get; set; } + + /// + /// Number of tokens in the cached part of the prompt (the cached content). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,33 +43,33 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. - /// - /// - /// 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 /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses + /// + /// 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). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - int? totalTokens, - int? cachedContentTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails) + int? totalTokens, + int? cachedContentTokenCount) { + this.CacheTokensDetails = cacheTokensDetails; + this.PromptTokensDetails = promptTokensDetails; this.TotalTokens = totalTokens; this.CachedContentTokenCount = cachedContentTokenCount; - this.PromptTokensDetails = promptTokensDetails; - this.CacheTokensDetails = cacheTokensDetails; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs index 7e6e18ea..09ca6dea 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class CustomLongRunningOperation { - /// - /// 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 server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// @@ -21,10 +15,16 @@ public sealed partial class CustomLongRunningOperation public string? Name { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } + + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. @@ -33,10 +33,10 @@ public sealed partial class CustomLongRunningOperation public object? Metadata { get; set; } /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - /// - /// The 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). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - bool? done, string? name, - global::Google.Gemini.Status? error, + bool? done, + object? response, object? metadata, - object? response) + global::Google.Gemini.Status? error) { - this.Done = done; this.Name = name; - this.Error = error; - this.Metadata = metadata; + this.Done = done; this.Response = response; + this.Metadata = metadata; + this.Error = error; } /// 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 cb0a07e3..a63ebd2d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class CustomMetadata { - /// - /// User provided string values assigned to a single metadata key. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } - - /// - /// Required. The key of the metadata to store. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("key")] - public string? Key { get; set; } - /// /// The numeric value of the metadata to store. /// @@ -32,6 +20,18 @@ public sealed partial class CustomMetadata [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; } + + /// + /// Required. The key of the metadata to store. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("key")] + public string? Key { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// User provided string values assigned to a single metadata key. - /// - /// - /// Required. The key of the metadata to store. - /// /// /// The numeric value of the metadata to store. /// /// /// The string value of the metadata to store. /// + /// + /// User provided string values assigned to a single metadata key. + /// + /// + /// Required. The key of the metadata to store. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - global::Google.Gemini.StringList? stringListValue, - string? key, float? numericValue, - string? stringValue) + string? stringValue, + global::Google.Gemini.StringList? stringListValue, + string? key) { - this.StringListValue = stringListValue; - this.Key = key; this.NumericValue = numericValue; this.StringValue = stringValue; + this.StringListValue = stringListValue; + this.Key = key; } /// 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 70f47766..185f6431 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 @@ -9,17 +9,17 @@ namespace Google.Gemini public sealed partial class Document { /// - /// 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 mime type of the Document.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// - /// 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" /// - [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. Current state of the `Document`.
@@ -30,37 +30,37 @@ public sealed partial class Document public global::Google.Gemini.DocumentState? State { get; set; } /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The mime type of the Document.
+ /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,56 +71,56 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` - /// - /// - /// Output only. The Timestamp of when the `Document` was created.
- /// Included only in responses - /// - /// - /// Output only. Current state of the `Document`.
+ /// + /// Output only. The mime type of the Document.
/// Included only in responses /// /// /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// - /// - /// Output only. The size of raw bytes ingested into the Document.
- /// Included only in responses - /// - /// - /// Output only. The 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 Timestamp of when the `Document` was last updated.
/// Included only in responses /// + /// + /// Output only. The size of raw bytes ingested into the Document.
+ /// Included only in responses + /// + /// + /// Output only. The Timestamp of when the `Document` was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? name, - string? createTime, - global::Google.Gemini.DocumentState? state, - string? displayName, - string? sizeBytes, string? mimeType, + string? displayName, + global::Google.Gemini.DocumentState? state, global::System.Collections.Generic.IList? customMetadata, - string? updateTime) + string? name, + string? updateTime, + string? sizeBytes, + string? createTime) { - this.Name = name; - this.CreateTime = createTime; - this.State = state; - this.DisplayName = displayName; - this.SizeBytes = sizeBytes; this.MimeType = mimeType; + this.DisplayName = displayName; + this.State = state; this.CustomMetadata = customMetadata; + this.Name = name; this.UpdateTime = updateTime; + this.SizeBytes = sizeBytes; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs index 9fe5d8a4..97c108b4 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 @@ -9,23 +9,18 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// 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; } - - /// - /// Configures the input to the batch request. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The time at which the batch was last updated.
+ /// Output only. The state of the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { 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; } /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. @@ -40,12 +35,6 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] public string? EndTime { get; set; } - /// - /// Required. The user-defined name of this batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses @@ -53,6 +42,20 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + /// /// Stats about the batch. /// @@ -60,25 +63,22 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchStats? BatchStats { 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. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// Output only. The state of the batch.
- /// Included only in responses + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - [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("priority")] + public string? Priority { get; set; } /// - /// Output only. The time at which the batch was created.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,14 +89,11 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Configures the input to the batch request. + /// + /// Required. The user-defined name of this batch. /// - /// - /// Output only. The time at which the batch was last updated.
+ /// + /// Output only. The state of the batch.
/// Included only in responses /// /// @@ -106,54 +103,57 @@ public sealed partial class EmbedContentBatch /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - /// - /// Required. The user-defined name of this batch. - /// /// /// 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 last updated.
+ /// Included only in responses + /// + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// /// /// Stats about the batch. /// + /// + /// Configures the input to the batch request. + /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Output only. The state of the batch.
- /// Included only in responses - /// - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - string? model, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, - string? updateTime, + string? displayName, + global::Google.Gemini.EmbedContentBatchState? state, global::Google.Gemini.EmbedContentBatchOutput? output, string? endTime, - string? displayName, string? name, + string? updateTime, + string? createTime, global::Google.Gemini.EmbedContentBatchStats? batchStats, + global::Google.Gemini.InputEmbedContentConfig? inputConfig, string? priority, - global::Google.Gemini.EmbedContentBatchState? state, - string? createTime) + string? model) { - this.Model = model; - this.InputConfig = inputConfig; - this.UpdateTime = updateTime; + this.DisplayName = displayName; + this.State = state; this.Output = output; this.EndTime = endTime; - this.DisplayName = displayName; this.Name = name; + this.UpdateTime = updateTime; + this.CreateTime = createTime; this.BatchStats = batchStats; + this.InputConfig = inputConfig; this.Priority = priority; - this.State = state; - this.CreateTime = createTime; + this.Model = model; } /// 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 973d4848..c7ac9b5f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchOutput { - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } - /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -21,6 +15,12 @@ public sealed partial class EmbedContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class EmbedContentBatchOutput /// /// Initializes a new instance of the class. /// - /// - /// The responses to the requests in the batch. - /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// + /// + /// The responses to the requests in the batch. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchOutput( - global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses, - string? responsesFile) + string? responsesFile, + global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses) { - this.InlinedResponses = inlinedResponses; this.ResponsesFile = responsesFile; + this.InlinedResponses = inlinedResponses; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs index 6fe044e2..52658226 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class EmbedContentBatchStats { /// - /// Output only. The number of requests that 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 in the batch.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// /// Output only. The number of requests that were successfully processed.
@@ -45,14 +45,14 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// /// /// Output only. The number of requests in the batch.
/// Included only in responses /// + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -65,13 +65,13 @@ public sealed partial class EmbedContentBatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? failedRequestCount, string? requestCount, + string? failedRequestCount, string? successfulRequestCount, string? pendingRequestCount) { - this.FailedRequestCount = failedRequestCount; this.RequestCount = requestCount; + this.FailedRequestCount = failedRequestCount; 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 17dfd281..f733aa59 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentConfig { - /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] - public bool? AutoTruncate { get; set; } - /// /// Optional. Whether to enable OCR for document content. /// @@ -21,10 +15,16 @@ public sealed partial class EmbedContentConfig public bool? DocumentOcr { get; set; } /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. + /// Optional. Whether to extract audio from video content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - public int? OutputDimensionality { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] + public bool? AudioTrackExtraction { get; set; } + + /// + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] + public bool? AutoTruncate { get; set; } /// /// Optional. The title for the text. @@ -40,10 +40,10 @@ public sealed partial class EmbedContentConfig public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } /// - /// Optional. Whether to extract audio from video content. + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,14 +54,14 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. - /// /// /// Optional. Whether to enable OCR for document content. /// - /// - /// Optional. 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. @@ -69,26 +69,26 @@ public sealed partial class EmbedContentConfig /// /// Optional. The task type of the embedding. /// - /// - /// Optional. Whether to extract audio from video content. + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - bool? autoTruncate, bool? documentOcr, - int? outputDimensionality, + bool? audioTrackExtraction, + bool? autoTruncate, string? title, global::Google.Gemini.EmbedContentConfigTaskType? taskType, - bool? audioTrackExtraction) + int? outputDimensionality) { - this.AutoTruncate = autoTruncate; this.DocumentOcr = documentOcr; - this.OutputDimensionality = outputDimensionality; + this.AudioTrackExtraction = audioTrackExtraction; + this.AutoTruncate = autoTruncate; this.Title = title; this.TaskType = taskType; - this.AudioTrackExtraction = audioTrackExtraction; + this.OutputDimensionality = outputDimensionality; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs index fc39261d..0614c199 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 @@ -10,12 +10,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentRequest { - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } - /// /// Configurations for the EmbedContent request. /// @@ -23,11 +17,10 @@ public sealed partial class EmbedContentRequest public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { 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`). + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - [global::System.Obsolete("This property marked as deprecated.")] - public int? OutputDimensionality { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + 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`). @@ -45,10 +38,17 @@ public sealed partial class EmbedContentRequest public string? Title { get; set; } /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + [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; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,26 +59,26 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Configurations for the EmbedContent request. /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( - global::Google.Gemini.Content? content, global::Google.Gemini.EmbedContentConfig? embedContentConfig, - string? model) + string? model, + global::Google.Gemini.Content? content) { - this.Content = content; this.EmbedContentConfig = embedContentConfig; this.Model = model; + this.Content = content; } /// 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 0ee693b0..3838dc09 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 f9f4e11f..4f2c65f2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ExecutableCode { + /// + /// Required. The code to be executed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("code")] + public string? Code { get; set; } + /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// @@ -21,12 +27,6 @@ public sealed partial class ExecutableCode [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter))] public global::Google.Gemini.ExecutableCodeLanguage? Language { get; set; } - /// - /// Required. The code to be executed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public string? Code { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ExecutableCode /// /// Initializes a new instance of the class. /// + /// + /// Required. The code to be executed. + /// /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// /// /// Required. Programming language of the `code`. /// - /// - /// Required. The code to be executed. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( + string? code, string? id, - global::Google.Gemini.ExecutableCodeLanguage? language, - string? code) + global::Google.Gemini.ExecutableCodeLanguage? language) { + this.Code = code; this.Id = id; this.Language = language; - this.Code = code; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs index c952ca5b..4177d891 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs @@ -9,31 +9,32 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. The uri of the `File`.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// - /// Output only. Size of the file in bytes.
- /// Included only in responses + /// Source of the File. /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { 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; } /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. MIME type of the file.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [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). @@ -42,24 +43,17 @@ public sealed partial class File public global::Google.Gemini.Status? Error { get; set; } /// - /// Metadata for a video `File`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } - - /// - /// Source of the File. + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// - [global::System.Text.Json.Serialization.JsonPropertyName("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("name")] + public string? Name { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. The uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Output only. The timestamp of when the `File` was last updated.
@@ -68,6 +62,13 @@ public sealed partial class File [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// Output only. The timestamp of when the `File` was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + /// /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses @@ -76,17 +77,16 @@ public sealed partial class File public string? ExpirationTime { get; set; } /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// 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.
- /// 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("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. Processing state of the File.
@@ -97,11 +97,11 @@ public sealed partial class File public global::Google.Gemini.FileState? State { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { 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. The uri of the `File`.
+ /// + /// Output only. The download uri of the `File`.
/// Included only in responses /// - /// - /// Output only. Size of the file in bytes.
- /// Included only in responses + /// + /// Source of the File. /// - /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses /// - /// - /// Output only. The download uri of the `File`.
+ /// + /// Output only. MIME type of the file.
/// Included only in responses /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// Metadata for a video `File`. - /// - /// - /// Source of the File. + /// + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` /// - /// - /// Output only. The timestamp of when the `File` was created.
+ /// + /// Output only. The uri of the `File`.
/// Included only in responses /// /// /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// + /// + /// Output only. The timestamp of when the `File` was created.
+ /// Included only in responses + /// /// /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// + /// + /// Metadata for a video `File`. + /// /// /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - /// - /// Output only. MIME type of the file.
- /// Included only in responses - /// /// /// Output only. Processing state of the File.
/// Included only in responses /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// + /// Output only. Size of the file in bytes.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - string? uri, - string? sizeBytes, - string? name, string? downloadUri, - global::Google.Gemini.Status? error, - global::Google.Gemini.VideoFileMetadata? videoMetadata, global::Google.Gemini.FileSource? source, - string? createTime, + byte[]? sha256Hash, + string? mimeType, + global::Google.Gemini.Status? error, + string? name, + string? uri, string? updateTime, + string? createTime, string? expirationTime, + global::Google.Gemini.VideoFileMetadata? videoMetadata, string? displayName, - string? mimeType, global::Google.Gemini.FileState? state, - byte[]? sha256Hash) + string? sizeBytes) { - this.Uri = uri; - this.SizeBytes = sizeBytes; - this.Name = name; this.DownloadUri = downloadUri; - this.Error = error; - this.VideoMetadata = videoMetadata; this.Source = source; - this.CreateTime = createTime; + this.Sha256Hash = sha256Hash; + this.MimeType = mimeType; + this.Error = error; + this.Name = name; + this.Uri = uri; this.UpdateTime = updateTime; + this.CreateTime = createTime; this.ExpirationTime = expirationTime; + this.VideoMetadata = videoMetadata; this.DisplayName = displayName; - this.MimeType = mimeType; this.State = state; - this.Sha256Hash = sha256Hash; + this.SizeBytes = sizeBytes; } /// 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 0f185b2c..6b607719 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileData.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FileData { - /// - /// Optional. The IANA standard MIME type of the source data. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Required. URI. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileUri")] public string? FileUri { get; set; } + /// + /// Optional. The IANA standard MIME type of the source data. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FileData /// /// Initializes a new instance of the class. /// - /// - /// Optional. The IANA standard MIME type of the source data. - /// /// /// Required. URI. /// + /// + /// Optional. The IANA standard MIME type of the source data. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileData( - string? mimeType, - string? fileUri) + string? fileUri, + string? mimeType) { - this.MimeType = mimeType; this.FileUri = fileUri; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs index 941bbd05..1dbcfc10 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] - public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } - /// /// Optional. The number of semantic retrieval chunks to retrieve. /// @@ -26,6 +20,12 @@ public sealed partial class FileSearch [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] public string? MetadataFilter { get; set; } + /// + /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStoreNames")] + public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` - /// /// /// Optional. The number of semantic retrieval chunks to retrieve. /// /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// + /// + /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - global::System.Collections.Generic.IList? fileSearchStoreNames, int? topK, - string? metadataFilter) + string? metadataFilter, + global::System.Collections.Generic.IList? fileSearchStoreNames) { - this.FileSearchStoreNames = fileSearchStoreNames; this.TopK = topK; this.MetadataFilter = metadataFilter; + this.FileSearchStoreNames = fileSearchStoreNames; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index c6829cf9..4a1166b8 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 @@ -9,25 +9,24 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
- /// Included only in responses + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [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. @@ -36,10 +35,18 @@ public sealed partial class FileSearchStore public string? EmbeddingModel { get; set; } /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// 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("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { 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`.
@@ -49,11 +56,11 @@ public sealed partial class FileSearchStore public string? SizeBytes { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// /// Output only. The Timestamp of when the `FileSearchStore` was created.
@@ -62,13 +69,6 @@ public sealed partial class FileSearchStore [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { 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("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -78,63 +78,63 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
- /// 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" /// /// /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Included only in responses + /// + /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Included only in responses /// /// /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// /// /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? updateTime, - string? name, string? activeDocumentsCount, - string? embeddingModel, + string? pendingDocumentsCount, string? displayName, + string? embeddingModel, + string? name, + string? updateTime, string? sizeBytes, - string? pendingDocumentsCount, - string? createTime, - string? failedDocumentsCount) + string? failedDocumentsCount, + string? createTime) { - this.UpdateTime = updateTime; - this.Name = name; this.ActiveDocumentsCount = activeDocumentsCount; - this.EmbeddingModel = embeddingModel; + this.PendingDocumentsCount = pendingDocumentsCount; this.DisplayName = displayName; + this.EmbeddingModel = embeddingModel; + this.Name = name; + this.UpdateTime = updateTime; this.SizeBytes = sizeBytes; - this.PendingDocumentsCount = pendingDocumentsCount; - this.CreateTime = createTime; this.FailedDocumentsCount = failedDocumentsCount; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs index d8965a5f..e2ad38ad 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Optional. The function parameters and values in JSON object format. /// @@ -35,12 +35,12 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// /// /// Optional. The function parameters and values in JSON object format. /// @@ -48,12 +48,12 @@ public sealed partial class FunctionCall [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - string? id, string? name, + string? id, object? args) { - this.Id = id; this.Name = name; + this.Id = id; this.Args = args; } 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 035aa1f9..be453ee7 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 @@ -9,16 +9,10 @@ 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). + /// Required. A brief description of the function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. @@ -26,6 +20,12 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] public object? ResponseJsonSchema { get; set; } + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } + /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// @@ -40,16 +40,16 @@ public sealed partial class FunctionDeclaration 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`. + /// 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("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Required. A brief description of the function. + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -60,46 +60,46 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// - /// - /// 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). + /// + /// Required. A brief description of the function. /// /// /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// /// /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// - /// - /// Required. A brief description of the function. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - string? name, - global::Google.Gemini.Schema? response, + string? description, object? responseJsonSchema, + global::Google.Gemini.Schema? response, global::Google.Gemini.FunctionDeclarationBehavior? behavior, global::Google.Gemini.Schema? parameters, - object? parametersJsonSchema, - string? description) + string? name, + object? parametersJsonSchema) { - this.Name = name; - this.Response = response; + this.Description = description; this.ResponseJsonSchema = responseJsonSchema; + this.Response = response; this.Behavior = behavior; this.Parameters = parameters; + this.Name = name; this.ParametersJsonSchema = parametersJsonSchema; - this.Description = description; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index 62e5df69..ff743309 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 @@ -9,22 +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`. - /// - [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. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("scheduling")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] + public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// /// Optional. 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`. @@ -33,17 +28,22 @@ public sealed partial class FunctionResponse 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. + /// 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("scheduling")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] - public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } + + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -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. /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. /// /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// - /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( + global::Google.Gemini.FunctionResponseScheduling? scheduling, + object? response, + bool? willContinue, string? id, - string? name, global::System.Collections.Generic.IList? parts, - bool? willContinue, - global::Google.Gemini.FunctionResponseScheduling? scheduling, - object? response) + string? name) { - this.Id = id; - this.Name = name; - this.Parts = parts; - this.WillContinue = willContinue; this.Scheduling = scheduling; this.Response = response; + this.WillContinue = willContinue; + this.Id = id; + this.Parts = parts; + this.Name = name; } /// 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 14147f59..ba4bacfa 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 @@ -8,27 +8,18 @@ namespace Google.Gemini /// public sealed partial class GenerateContentBatch { - /// - /// 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; } - - /// - /// Output only. The state of the batch.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] - public global::Google.Gemini.GenerateContentBatchState? State { get; set; } - /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// [global::System.Text.Json.Serialization.JsonPropertyName("priority")] public string? Priority { get; set; } + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } + /// /// Stats about the batch. /// @@ -36,17 +27,16 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// 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 time at which the batch processing completed.
@@ -56,22 +46,25 @@ public sealed partial class GenerateContentBatch public string? EndTime { get; set; } /// - /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Configures the input to the batch request. + /// Output only. The time at which the batch was created.
+ /// 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("createTime")] + public string? CreateTime { get; set; } /// /// Output only. The time at which the batch was last updated.
@@ -80,6 +73,13 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { 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 GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - /// - /// Output only. The state of the batch.
- /// Included only in responses - /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// Configures the input to the batch request. + /// /// /// Stats about the batch. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// 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 time at which the batch processing completed.
/// Included only in responses /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + /// Output only. The state of the batch.
+ /// 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. + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// + /// + /// 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 GenerateContentBatch( - string? createTime, - global::Google.Gemini.GenerateContentBatchState? state, string? priority, + global::Google.Gemini.InputConfig? inputConfig, global::Google.Gemini.BatchStats? batchStats, - string? name, - string? displayName, - string? endTime, - global::Google.Gemini.GenerateContentBatchOutput? output, string? model, - global::Google.Gemini.InputConfig? inputConfig, - string? updateTime) + global::Google.Gemini.GenerateContentBatchOutput? output, + string? endTime, + global::Google.Gemini.GenerateContentBatchState? state, + string? displayName, + string? createTime, + string? updateTime, + string? name) { - this.CreateTime = createTime; - this.State = state; this.Priority = priority; + this.InputConfig = inputConfig; this.BatchStats = batchStats; - this.Name = name; - this.DisplayName = displayName; - this.EndTime = endTime; - this.Output = output; this.Model = model; - this.InputConfig = inputConfig; + this.Output = output; + this.EndTime = endTime; + this.State = state; + this.DisplayName = displayName; + this.CreateTime = createTime; this.UpdateTime = updateTime; + this.Name = name; } /// 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 9df88fdf..92d262ff 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 @@ -9,28 +9,23 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } - - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// Optional. The service tier of the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] + public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { 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}` @@ -38,12 +33,6 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] public string? CachedContent { get; set; } - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } - /// /// 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. /// @@ -51,23 +40,34 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Optional. The service tier of the request. + /// The Tool configuration containing parameters for specifying `Tool` use in 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; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - [global::System.Text.Json.Serialization.JsonPropertyName("store")] - public bool? Store { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] + public global::Google.Gemini.GenerationConfig? GenerationConfig { 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; } + + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,61 +78,61 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// Optional. The service tier of the request. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. The service tier of the request. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, + string? model, + bool? store, + string? cachedContent, + global::System.Collections.Generic.IList? contents, + global::Google.Gemini.ToolConfig? toolConfig, global::System.Collections.Generic.IList? safetySettings, global::Google.Gemini.GenerationConfig? generationConfig, - global::System.Collections.Generic.IList? tools, - global::Google.Gemini.ToolConfig? toolConfig, - string? cachedContent, global::Google.Gemini.Content? systemInstruction, - global::System.Collections.Generic.IList? contents, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - bool? store, - string? model) + global::System.Collections.Generic.IList? tools) { + this.ServiceTier = serviceTier; + this.Model = model; + this.Store = store; + this.CachedContent = cachedContent; + this.Contents = contents; + this.ToolConfig = toolConfig; this.SafetySettings = safetySettings; this.GenerationConfig = generationConfig; - this.Tools = tools; - this.ToolConfig = toolConfig; - this.CachedContent = cachedContent; this.SystemInstruction = systemInstruction; - this.Contents = contents; - this.ServiceTier = serviceTier; - this.Store = store; - this.Model = model; + this.Tools = tools; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs index 64d049b2..fb7a6737 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 @@ -14,6 +14,12 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] public global::System.Collections.Generic.IList? Candidates { get; set; } + /// + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] + public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// @@ -26,13 +32,6 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] - public string? ModelVersion { get; set; } - /// /// Output only. response_id is used to identify each response.
/// Included only in responses @@ -41,10 +40,11 @@ public sealed partial class GenerateContentResponse public string? ResponseId { get; set; } /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] - public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -58,40 +58,40 @@ public sealed partial class GenerateContentResponse /// /// Candidate responses from the model. /// + /// + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// /// /// Metadata on the generation request's token usage. /// - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses - /// /// /// Output only. response_id is used to identify each response.
/// Included only in responses /// - /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( global::System.Collections.Generic.IList? candidates, + global::Google.Gemini.PromptFeedback? promptFeedback, global::Google.Gemini.ModelStatus? modelStatus, global::Google.Gemini.UsageMetadata? usageMetadata, - string? modelVersion, string? responseId, - global::Google.Gemini.PromptFeedback? promptFeedback) + string? modelVersion) { this.Candidates = candidates; + this.PromptFeedback = promptFeedback; this.ModelStatus = modelStatus; this.UsageMetadata = usageMetadata; - this.ModelVersion = modelVersion; this.ResponseId = responseId; - this.PromptFeedback = promptFeedback; + this.ModelVersion = modelVersion; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs index 06ec0e80..f270d849 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 +8,18 @@ namespace Google.Gemini /// public sealed partial class GeneratedFile { + /// + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// MIME type of the generatedFile. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -22,18 +34,6 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { 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 +43,12 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// + /// + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// + /// + /// MIME type of the generatedFile. + /// /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -50,25 +56,19 @@ public sealed partial class GeneratedFile /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` - /// - /// - /// MIME type of the generatedFile. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - global::Google.Gemini.GeneratedFileState? state, - global::Google.Gemini.Status? error, string? name, - string? mimeType) + string? mimeType, + global::Google.Gemini.GeneratedFileState? state, + global::Google.Gemini.Status? error) { - this.State = state; - this.Error = error; this.Name = name; this.MimeType = mimeType; + this.State = state; + this.Error = error; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index 8453face..be9cea99 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 @@ -9,95 +9,95 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// 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 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("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { 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. 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("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. 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("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// Optional. 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("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// - /// Config for thinking features. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] + public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Optional. The 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. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { 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. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { 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. 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("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { 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. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { 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. An internal detail. Use `responseJsonSchema` rather than this field. + /// 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("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// 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("mediaResolution")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] - public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// - /// Config for image generation features. + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { 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) @@ -106,22 +106,22 @@ public sealed partial class GenerationConfig public int? CandidateCount { get; set; } /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// 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("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Optional. If true, export the logprobs results in response. + /// 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("responseLogprobs")] - public bool? ResponseLogprobs { 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. @@ -138,62 +138,62 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// /// /// Optional. 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. 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. 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]. /// - /// - /// 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. If specified, the media resolution specified will be used. /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - /// - /// Config for thinking features. + /// + /// 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. + /// + /// Config for image generation features. /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Optional. If true, export the logprobs results in response. + /// + /// + /// Optional. The 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. 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. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// + /// Config for speech generation and transcription. /// /// /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. - /// - /// - /// Optional. If specified, the media resolution specified will be used. - /// - /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. - /// - /// - /// Config for image generation features. - /// /// /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// 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. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Config for thinking features. /// - /// - /// Optional. If true, export the logprobs results in response. + /// + /// 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. 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. @@ -202,46 +202,46 @@ public sealed partial class GenerationConfig [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - float? temperature, - string? responseMimeType, - global::Google.Gemini.Schema? responseSchema, - global::System.Collections.Generic.IList? responseModalities, - global::Google.Gemini.ThinkingConfig? thinkingConfig, - global::System.Collections.Generic.IList? stopSequences, - global::Google.Gemini.SpeechConfig? speechConfig, int? topK, - float? frequencyPenalty, + int? maxOutputTokens, + float? temperature, int? logprobs, - bool? enableEnhancedCivicAnswers, - object? responseJsonSchema, global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, int? seed, + object? responseJsonSchema, global::Google.Gemini.ImageConfig? imageConfig, - int? candidateCount, - int? maxOutputTokens, - float? topP, + string? responseMimeType, bool? responseLogprobs, + float? topP, + float? frequencyPenalty, + global::System.Collections.Generic.IList? responseModalities, + global::Google.Gemini.SpeechConfig? speechConfig, + bool? enableEnhancedCivicAnswers, + int? candidateCount, + global::Google.Gemini.Schema? responseSchema, + global::Google.Gemini.ThinkingConfig? thinkingConfig, + global::System.Collections.Generic.IList? stopSequences, float? presencePenalty) { - this.Temperature = temperature; - this.ResponseMimeType = responseMimeType; - this.ResponseSchema = responseSchema; - this.ResponseModalities = responseModalities; - this.ThinkingConfig = thinkingConfig; - this.StopSequences = stopSequences; - this.SpeechConfig = speechConfig; this.TopK = topK; - this.FrequencyPenalty = frequencyPenalty; + this.MaxOutputTokens = maxOutputTokens; + this.Temperature = temperature; this.Logprobs = logprobs; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.ResponseJsonSchema = responseJsonSchema; this.MediaResolution = mediaResolution; this.Seed = seed; + this.ResponseJsonSchema = responseJsonSchema; this.ImageConfig = imageConfig; - this.CandidateCount = candidateCount; - this.MaxOutputTokens = maxOutputTokens; - this.TopP = topP; + this.ResponseMimeType = responseMimeType; this.ResponseLogprobs = responseLogprobs; + this.TopP = topP; + this.FrequencyPenalty = frequencyPenalty; + this.ResponseModalities = responseModalities; + this.SpeechConfig = speechConfig; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.CandidateCount = candidateCount; + this.ResponseSchema = responseSchema; + this.ThinkingConfig = thinkingConfig; + this.StopSequences = stopSequences; this.PresencePenalty = presencePenalty; } 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 847818de..f87dfcfd 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 @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { /// - /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
- /// Included only in responses + /// Segment of the content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] - public global::System.Collections.Generic.IList? RenderedParts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("segment")] + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. @@ -21,18 +20,19 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } - /// - /// Segment of the content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("segment")] - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } - /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } + /// + /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] + public global::System.Collections.Generic.IList? RenderedParts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -42,32 +42,32 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// - /// - /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
- /// Included only in responses + /// + /// 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. /// - /// - /// Segment of the content. - /// /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// + /// + /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( - global::System.Collections.Generic.IList? renderedParts, - global::System.Collections.Generic.IList? confidenceScores, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, - global::System.Collections.Generic.IList? groundingChunkIndices) + global::System.Collections.Generic.IList? confidenceScores, + global::System.Collections.Generic.IList? groundingChunkIndices, + global::System.Collections.Generic.IList? renderedParts) { - this.RenderedParts = renderedParts; - this.ConfidenceScores = confidenceScores; this.Segment = segment; + this.ConfidenceScores = confidenceScores; this.GroundingChunkIndices = groundingChunkIndices; + this.RenderedParts = renderedParts; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index d9f180ce..06a377fb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaSegment { + /// + /// The index of a Part object within its parent Content object. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] + public int? PartIndex { get; set; } + /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// @@ -20,12 +26,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] public int? EndIndex { get; set; } - /// - /// The index of a Part object within its parent Content object. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] - public int? PartIndex { get; set; } - /// /// The text corresponding to the segment from the response. /// @@ -41,15 +41,15 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// + /// + /// The index of a Part object within its parent Content object. + /// /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. /// /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// - /// - /// The index of a Part object within its parent Content object. - /// /// /// The text corresponding to the segment from the response. /// @@ -57,14 +57,14 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( + int? partIndex, int? startIndex, int? endIndex, - int? partIndex, string? text) { + this.PartIndex = partIndex; this.StartIndex = startIndex; this.EndIndex = endIndex; - this.PartIndex = partIndex; this.Text = text; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs index 26223c8f..fadfe83a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GroundingAttribution { - /// - /// Identifier for the source contributing to this attribution. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceId")] - public global::Google.Gemini.AttributionSourceId? SourceId { get; set; } - /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// [global::System.Text.Json.Serialization.JsonPropertyName("content")] public global::Google.Gemini.Content? Content { get; set; } + /// + /// Identifier for the source contributing to this attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceId")] + public global::Google.Gemini.AttributionSourceId? SourceId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GroundingAttribution /// /// Initializes a new instance of the class. /// - /// - /// Identifier for the source contributing to this attribution. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Identifier for the source contributing to this attribution. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingAttribution( - global::Google.Gemini.AttributionSourceId? sourceId, - global::Google.Gemini.Content? content) + global::Google.Gemini.Content? content, + global::Google.Gemini.AttributionSourceId? sourceId) { - this.SourceId = sourceId; this.Content = content; + this.SourceId = sourceId; } /// 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 2363445a..f2a40de9 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class GroundingChunk { /// - /// Chunk from the web. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("web")] - public global::Google.Gemini.Web? Web { get; set; } - - /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// Chunk from context retrieved by the file search tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maps")] - public global::Google.Gemini.Maps? Maps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] + public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } /// /// Chunk from image search. @@ -27,10 +21,16 @@ public sealed partial class GroundingChunk public global::Google.Gemini.Image? Image { get; set; } /// - /// Chunk from context retrieved by the file search tool. + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] - public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maps")] + public global::Google.Gemini.Maps? Maps { get; set; } + + /// + /// Chunk from the web. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("web")] + public global::Google.Gemini.Web? Web { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class GroundingChunk /// /// Initializes a new instance of the class. /// - /// - /// Chunk from the web. - /// - /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// + /// Chunk from context retrieved by the file search tool. /// /// /// Chunk from image search. /// - /// - /// Chunk from context retrieved by the file search tool. + /// + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// + /// + /// Chunk from the web. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.Web? web, - global::Google.Gemini.Maps? maps, + global::Google.Gemini.RetrievedContext? retrievedContext, global::Google.Gemini.Image? image, - global::Google.Gemini.RetrievedContext? retrievedContext) + global::Google.Gemini.Maps? maps, + global::Google.Gemini.Web? web) { - this.Web = web; - this.Maps = maps; - this.Image = image; this.RetrievedContext = retrievedContext; + this.Image = image; + this.Maps = maps; + this.Web = web; } /// 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 2f67c705..9976e845 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; } + /// /// A list of string values. /// @@ -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; } - /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// @@ -41,15 +41,15 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// + /// + /// Optional. The string value of the metadata. + /// /// /// A list of string values. /// /// /// The key of the metadata. /// - /// - /// Optional. The string value of the metadata. - /// /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// @@ -57,14 +57,14 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( + string? stringValue, global::Google.Gemini.GroundingChunkStringList? stringListValue, string? key, - string? stringValue, float? numericValue) { + this.StringValue = stringValue; this.StringListValue = stringListValue; this.Key = key; - this.StringValue = stringValue; this.NumericValue = numericValue; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs index ea2b3edb..a1d8241c 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 +9,10 @@ namespace Google.Gemini public sealed partial class GroundingMetadata { /// - /// List of grounding support. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } - - /// - /// Metadata related to retrieval in the grounding flow. + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] - public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { get; set; } /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. @@ -26,30 +20,36 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] public string? GoogleMapsWidgetContextToken { get; set; } - /// - /// Google search entry point. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } - /// /// Image search queries used for grounding. /// [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { get; set; } - /// /// Web search queries for the following-up web search. /// [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + /// + /// Metadata related to retrieval in the grounding flow. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] + public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + + /// + /// Google search entry point. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } + + /// + /// List of grounding support. + /// + [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 /// @@ -59,46 +59,46 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// List of grounding support. - /// - /// - /// Metadata related to retrieval in the grounding flow. + /// + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// - /// - /// Google search entry point. - /// /// /// Image search queries used for grounding. /// - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. - /// /// /// Web search queries for the following-up web search. /// + /// + /// Metadata related to retrieval in the grounding flow. + /// + /// + /// Google search entry point. + /// + /// + /// List of grounding support. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::System.Collections.Generic.IList? groundingSupports, - global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + global::System.Collections.Generic.IList? groundingChunks, string? googleMapsWidgetContextToken, - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, global::System.Collections.Generic.IList? imageSearchQueries, - global::System.Collections.Generic.IList? groundingChunks, - global::System.Collections.Generic.IList? webSearchQueries) + global::System.Collections.Generic.IList? webSearchQueries, + global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + global::System.Collections.Generic.IList? groundingSupports) { - this.GroundingSupports = groundingSupports; - this.RetrievalMetadata = retrievalMetadata; + this.GroundingChunks = groundingChunks; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; - this.SearchEntryPoint = searchEntryPoint; this.ImageSearchQueries = imageSearchQueries; - this.GroundingChunks = groundingChunks; this.WebSearchQueries = webSearchQueries; + this.RetrievalMetadata = retrievalMetadata; + 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 65cfa899..79a931ef 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 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; } /// /// 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. @@ -20,18 +20,18 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] public float? LearningRateMultiplier { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] - public int? BatchSize { get; set; } - /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] public int? EpochCount { get; set; } + /// + /// Optional. Immutable. The learning rate 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("learningRate")] + public float? LearningRate { 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 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. /// /// /// 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. - /// /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// + /// + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - float? learningRate, - float? learningRateMultiplier, int? batchSize, - int? epochCount) + float? learningRateMultiplier, + int? epochCount, + float? learningRate) { - this.LearningRate = learningRate; - this.LearningRateMultiplier = learningRateMultiplier; this.BatchSize = batchSize; + this.LearningRateMultiplier = learningRateMultiplier; this.EpochCount = epochCount; + 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 3622645d..45d108ac 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 image asset URL. /// @@ -21,10 +15,10 @@ public sealed partial class Image public string? ImageUri { get; set; } /// - /// The web page URI for attribution. + /// The root domain of the web page that the image is from, e.g. "example.com". /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] - public string? SourceUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("domain")] + public string? Domain { get; set; } /// /// The title of the web page that the image is from. @@ -32,6 +26,12 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// The web page URI for attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] + public string? SourceUri { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// - /// - /// The root domain of the web page that the image is from, e.g. "example.com". - /// /// /// The image asset URL. /// - /// - /// The web page URI for attribution. + /// + /// The root domain of the web page that the image is from, e.g. "example.com". /// /// /// The title of the web page that the image is from. /// + /// + /// The web page URI for attribution. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? domain, string? imageUri, - string? sourceUri, - string? title) + string? domain, + string? title, + string? sourceUri) { - this.Domain = domain; this.ImageUri = imageUri; - this.SourceUri = sourceUri; + this.Domain = domain; this.Title = title; + this.SourceUri = sourceUri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs index a3b4bba3..c70f6aa2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Optional. The metadata to be associated with the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// Request containing the `Content` for the model to embed. /// [global::System.Text.Json.Serialization.JsonPropertyName("request")] public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// + /// Optional. The metadata to be associated with the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The metadata to be associated with the request. - /// /// /// Request containing the `Content` for the model to embed. /// + /// + /// Optional. The metadata to be associated with the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - object? metadata, - global::Google.Gemini.EmbedContentRequest? request) + global::Google.Gemini.EmbedContentRequest? request, + object? metadata) { - this.Metadata = metadata; this.Request = request; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index a5d69c3b..d705a978 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -14,6 +14,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// The response to an `EmbedContentRequest`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.EmbedContentResponse? Response { get; set; } + /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -21,12 +27,6 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } - /// - /// The response to an `EmbedContentRequest`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.EmbedContentResponse? Response { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,24 +39,24 @@ public sealed partial class InlinedEmbedContentResponse /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// The response to an `EmbedContentRequest`. + /// /// /// Output only. The metadata associated with the request.
/// Included only in responses /// - /// - /// The response to an `EmbedContentRequest`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( global::Google.Gemini.Status? error, - object? metadata, - global::Google.Gemini.EmbedContentResponse? response) + global::Google.Gemini.EmbedContentResponse? response, + object? metadata) { this.Error = error; - this.Metadata = metadata; this.Response = response; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index 22ff99f8..9548e6f4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class InlinedResponse { /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.GenerateContentResponse? Response { get; set; } /// /// Output only. The metadata associated with the request.
@@ -22,10 +22,10 @@ public sealed partial class InlinedResponse public object? Metadata { get; set; } /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,27 +36,27 @@ public sealed partial class InlinedResponse /// /// Initializes a new instance of the class. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. /// /// /// Output only. The metadata associated with the request.
/// Included only in responses /// - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( - global::Google.Gemini.Status? error, + global::Google.Gemini.GenerateContentResponse? response, object? metadata, - global::Google.Gemini.GenerateContentResponse? response) + global::Google.Gemini.Status? error) { - this.Error = error; - this.Metadata = metadata; this.Response = response; + this.Metadata = metadata; + this.Error = error; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs index 53b78dd6..f5cb7585 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCorporaResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned corpora. /// [global::System.Text.Json.Serialization.JsonPropertyName("corpora")] public global::System.Collections.Generic.IList? Corpora { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCorporaResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned corpora. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCorporaResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? corpora) + global::System.Collections.Generic.IList? corpora, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Corpora = corpora; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs index 7b51e54b..00f5c2a1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFilesResponse { - /// - /// The list of `File`s. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("files")] - public global::System.Collections.Generic.IList? Files { get; set; } - /// /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The list of `File`s. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("files")] + public global::System.Collections.Generic.IList? Files { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// The list of `File`s. - /// /// /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. /// + /// + /// The list of `File`s. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFilesResponse( - global::System.Collections.Generic.IList? files, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? files) { - this.Files = files; this.NextPageToken = nextPageToken; + this.Files = files; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs index 761cfc98..3ac3fc7f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListGeneratedFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListGeneratedFilesResponse { - /// - /// The list of `GeneratedFile`s. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("generatedFiles")] - public global::System.Collections.Generic.IList? GeneratedFiles { get; set; } - /// /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The list of `GeneratedFile`s. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("generatedFiles")] + public global::System.Collections.Generic.IList? GeneratedFiles { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListGeneratedFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// The list of `GeneratedFile`s. - /// /// /// A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. /// + /// + /// The list of `GeneratedFile`s. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListGeneratedFilesResponse( - global::System.Collections.Generic.IList? generatedFiles, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? generatedFiles) { - this.GeneratedFiles = generatedFiles; this.NextPageToken = nextPageToken; + this.GeneratedFiles = generatedFiles; } /// 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 c530ffd4..3b174b5d 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.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 0d7b8952..1c4558c4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class LogprobsResultCandidate { - /// - /// The candidate's log probability. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] - public float? LogProbability { get; set; } - /// /// The candidate’s token string value. /// @@ -26,6 +20,12 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] public int? TokenId { get; set; } + /// + /// The candidate's log probability. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] + public float? LogProbability { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate's log probability. - /// /// /// The candidate’s token string value. /// /// /// The candidate’s token id value. /// + /// + /// The candidate's log probability. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - float? logProbability, string? token, - int? tokenId) + int? tokenId, + float? logProbability) { - this.LogProbability = logProbability; this.Token = token; this.TokenId = tokenId; + this.LogProbability = logProbability; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index 272fa98b..452a0aec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Maps { /// - /// Title of the place. + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] + public string? PlaceId { get; set; } /// /// URI reference of the place. @@ -21,10 +21,10 @@ public sealed partial class Maps 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. + /// Title of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] - public string? PlaceId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Text description of the place answer. @@ -47,14 +47,14 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// Title of the place. + /// + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// /// /// 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. + /// + /// Title of the place. /// /// /// Text description of the place answer. @@ -66,15 +66,15 @@ public sealed partial class Maps [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - string? title, - string? uri, string? placeId, + string? uri, + string? title, string? text, global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { - this.Title = title; - this.Uri = uri; this.PlaceId = placeId; + this.Uri = uri; + this.Title = title; this.Text = text; 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 ab8cc328..d1c47b48 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class McpServer { - /// - /// The name of the MCPServer. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } + /// + /// The name of the MCPServer. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class McpServer /// /// Initializes a new instance of the class. /// - /// - /// The name of the MCPServer. - /// /// /// A transport that can stream HTTP requests and responses. Next ID: 6 /// + /// + /// The name of the MCPServer. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public McpServer( - string? name, - global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport) + global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport, + string? name) { - this.Name = name; this.StreamableHttpTransport = streamableHttpTransport; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs index b9c043c1..f9e614fa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ModalityTokenCount { + /// + /// Number of tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } + /// /// The modality associated with this token count. /// @@ -15,12 +21,6 @@ public sealed partial class ModalityTokenCount [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter))] public global::Google.Gemini.ModalityTokenCountModality? Modality { get; set; } - /// - /// Number of tokens. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ModalityTokenCount /// /// Initializes a new instance of the class. /// - /// - /// The modality associated with this token count. - /// /// /// Number of tokens. /// + /// + /// The modality associated with this token count. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModalityTokenCount( - global::Google.Gemini.ModalityTokenCountModality? modality, - int? tokenCount) + int? tokenCount, + global::Google.Gemini.ModalityTokenCountModality? modality) { - this.Modality = modality; this.TokenCount = tokenCount; + this.Modality = modality; } /// 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 f23fb0ca..397809f5 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 +9,16 @@ namespace Google.Gemini public sealed partial class Model { /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } - - /// - /// 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("displayName")] - public string? DisplayName { get; set; } - - /// - /// Maximum number of input tokens allowed for this model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } - - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// 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("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// Whether the model supports thinking. + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// A short description of the model. @@ -51,10 +33,16 @@ public sealed partial class Model 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`. + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } + + /// + /// 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. @@ -63,16 +51,16 @@ public sealed partial class Model public float? TopP { 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` + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [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` + /// 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("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// The maximum temperature this model can use. @@ -81,10 +69,22 @@ public sealed partial class Model public float? MaxTemperature { get; set; } /// - /// Maximum number of output tokens available for this model. + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } + + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } + + /// + /// Whether the model supports thinking. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,20 +95,11 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - /// - /// 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. - /// - /// - /// 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 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. + /// + /// 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` /// /// /// A short description of the model. @@ -116,55 +107,64 @@ public sealed partial class 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`. + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + /// + /// Maximum number of output tokens available for this model. /// /// /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// - /// - /// Required. The 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 input tokens allowed for this model. /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// /// /// The maximum temperature this model can use. /// - /// - /// Maximum number of output tokens available for this model. + /// + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// + /// Whether the model supports thinking. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - string? version, - string? displayName, - int? inputTokenLimit, - float? temperature, - bool? thinking, + global::System.Collections.Generic.IList? supportedGenerationMethods, + string? name, string? description, int? topK, - global::System.Collections.Generic.IList? supportedGenerationMethods, + float? temperature, + int? outputTokenLimit, float? topP, - string? name, - string? baseModelId, + int? inputTokenLimit, + string? displayName, float? maxTemperature, - int? outputTokenLimit) + string? baseModelId, + string? version, + bool? thinking) { - this.Version = version; - this.DisplayName = displayName; - this.InputTokenLimit = inputTokenLimit; - this.Temperature = temperature; - this.Thinking = thinking; + this.SupportedGenerationMethods = supportedGenerationMethods; + this.Name = name; this.Description = description; this.TopK = topK; - this.SupportedGenerationMethods = supportedGenerationMethods; + this.Temperature = temperature; + this.OutputTokenLimit = outputTokenLimit; this.TopP = topP; - this.Name = name; - this.BaseModelId = baseModelId; + this.InputTokenLimit = inputTokenLimit; + this.DisplayName = displayName; this.MaxTemperature = maxTemperature; - this.OutputTokenLimit = outputTokenLimit; + this.BaseModelId = baseModelId; + this.Version = version; + this.Thinking = thinking; } /// 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 10303d15..bb3395ca 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { - /// - /// A message explaining the model status. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } - /// /// The stage of the underlying model. /// @@ -27,6 +21,12 @@ 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? retirementTime, + string? message) { - 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 2fabc24e..bcff9cb8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -9,34 +9,34 @@ namespace Google.Gemini public sealed partial class Operation { /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } /// - /// 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// - /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + /// + /// 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. /// + /// + /// 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). /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( - object? response, - object? metadata, - global::Google.Gemini.Status? error, bool? done, - string? name) + string? name, + object? metadata, + object? response, + global::Google.Gemini.Status? error) { - this.Response = response; - this.Metadata = metadata; - this.Error = error; this.Done = done; this.Name = name; + this.Metadata = metadata; + this.Response = response; + this.Error = error; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs index 885e5507..e4170be7 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 @@ -11,64 +11,65 @@ namespace Google.Gemini public sealed partial class Part { /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// 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("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } /// - /// Inline text. + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { 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. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { 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`. + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { 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. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. + /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + [global::System.Obsolete("This property marked as deprecated.")] + public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// /// Optional. Indicates if the part is thought from the model. @@ -77,17 +78,16 @@ public sealed partial class Part public bool? Thought { get; set; } /// - /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } /// - /// URI based data. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -98,71 +98,71 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. - /// - /// - /// 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. - /// /// /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// /// /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. - /// /// /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// + /// + /// Inline text. + /// + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// /// /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + /// + /// URI based data. + /// + /// + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// /// /// Optional. Indicates if the part is thought from the model. /// - /// - /// URI based data. + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.ToolCall? toolCall, - string? text, - object? partMetadata, global::Google.Gemini.FunctionCall? functionCall, global::Google.Gemini.ToolResponse? toolResponse, - global::Google.Gemini.Blob? inlineData, global::Google.Gemini.FunctionResponse? functionResponse, + string? text, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, global::Google.Gemini.ExecutableCode? executableCode, - byte[]? thoughtSignature, + object? partMetadata, + global::Google.Gemini.FileData? fileData, + global::Google.Gemini.ToolCall? toolCall, bool? thought, - global::Google.Gemini.FileData? fileData) + global::Google.Gemini.Blob? inlineData, + byte[]? thoughtSignature) { - this.CodeExecutionResult = codeExecutionResult; - this.ToolCall = toolCall; - this.Text = text; - this.PartMetadata = partMetadata; this.FunctionCall = functionCall; this.ToolResponse = toolResponse; - this.InlineData = inlineData; this.FunctionResponse = functionResponse; + this.Text = text; + this.CodeExecutionResult = codeExecutionResult; this.ExecutableCode = executableCode; - this.ThoughtSignature = thoughtSignature; - this.Thought = thought; + this.PartMetadata = partMetadata; this.FileData = fileData; + this.ToolCall = toolCall; + this.Thought = thought; + this.InlineData = inlineData; + this.ThoughtSignature = thoughtSignature; } /// 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 be7e5da8..af56406e 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class Permission { - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Required. The role granted by this permission. /// @@ -22,6 +15,13 @@ public sealed partial class Permission [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 + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. Immutable. The type of the grantee. /// @@ -44,13 +44,13 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// + /// + /// Required. The role granted by this permission. + /// /// /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
/// Included only in responses /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The type of the grantee. /// @@ -61,13 +61,13 @@ public sealed partial class Permission [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? name, global::Google.Gemini.PermissionRole? role, + string? name, global::Google.Gemini.PermissionGranteeType? granteeType, string? emailAddress) { - this.Name = name; this.Role = role; + this.Name = name; this.GranteeType = granteeType; this.EmailAddress = emailAddress; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs index 1d723d03..3dcf1c7b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class RetrievalConfig { - /// - /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("latLng")] - public global::Google.Gemini.LatLng? LatLng { get; set; } - /// /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). /// [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] public string? LanguageCode { get; set; } + /// + /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("latLng")] + public global::Google.Gemini.LatLng? LatLng { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class RetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. - /// /// /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievalConfig( - global::Google.Gemini.LatLng? latLng, - string? languageCode) + string? languageCode, + global::Google.Gemini.LatLng? latLng) { - this.LatLng = latLng; this.LanguageCode = languageCode; + this.LatLng = latLng; } /// 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 9488c76c..2bc87014 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 @@ -9,22 +9,16 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// Optional. URI reference of the semantic retrieval document. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } - - /// - /// Optional. Title of the document. + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// - /// Optional. Page number of the retrieved context, if applicable. + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] - public int? PageNumber { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } /// /// Optional. User-provided metadata about the retrieved context. @@ -32,6 +26,12 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// + /// Optional. Page number of the retrieved context, if applicable. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] + public int? PageNumber { get; set; } + /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// @@ -39,16 +39,16 @@ public sealed partial class RetrievedContext public string? MediaId { get; set; } /// - /// Optional. Text of the chunk. + /// Optional. URI reference of the semantic retrieval document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// Optional. Title of the document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { 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. URI reference of the semantic retrieval document. - /// - /// - /// Optional. Title of the document. + /// + /// Optional. Text of the chunk. /// - /// - /// Optional. Page number of the retrieved context, if applicable. + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// /// /// Optional. 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. URI reference of the semantic retrieval document. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// Optional. Title of the document. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - string? uri, - string? title, - int? pageNumber, + string? text, + string? fileSearchStore, global::System.Collections.Generic.IList? customMetadata, + int? pageNumber, string? mediaId, - string? text, - string? fileSearchStore) + string? uri, + string? title) { - this.Uri = uri; - this.Title = title; - this.PageNumber = pageNumber; - this.CustomMetadata = customMetadata; - this.MediaId = mediaId; this.Text = text; this.FileSearchStore = fileSearchStore; + this.CustomMetadata = customMetadata; + this.PageNumber = pageNumber; + this.MediaId = mediaId; + this.Uri = uri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index 95e276d7..d173960d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class SafetyRating { /// - /// Was this content blocked because of this rating? + /// Required. The category for this rating. /// - [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] - public bool? Blocked { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("category")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] + public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } /// /// Required. The probability of harm for this content. @@ -22,11 +23,10 @@ public sealed partial class SafetyRating public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } /// - /// Required. The category for this rating. + /// Was this content blocked because of this rating? /// - [global::System.Text.Json.Serialization.JsonPropertyName("category")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] - public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] + public bool? Blocked { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -37,26 +37,26 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// - /// - /// Was this content blocked because of this rating? + /// + /// Required. The category for this rating. /// /// /// Required. The probability of harm for this content. /// - /// - /// Required. The category for this rating. + /// + /// Was this content blocked because of this rating? /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( - bool? blocked, + global::Google.Gemini.SafetyRatingCategory? category, global::Google.Gemini.SafetyRatingProbability? probability, - global::Google.Gemini.SafetyRatingCategory? category) + bool? blocked) { - this.Blocked = blocked; - this.Probability = probability; this.Category = category; + this.Probability = probability; + this.Blocked = blocked; } /// 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 38ca554a..2c5c24c6 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 @@ -9,34 +9,34 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// - /// Optional. Indicates if the value may be null. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// /// Optional. Example of the object. Will only populated when the object is the root. @@ -45,34 +45,29 @@ public sealed partial class Schema public object? Example { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } - - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { 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. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { 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. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. @@ -81,65 +76,70 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// - /// Optional. The title of the schema. + /// Optional. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } /// - /// Optional. Maximum number of the properties for 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"]} /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } /// - /// Required. Data type. + /// 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("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("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } + + /// + /// Optional. Required properties of Type.OBJECT. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. Indicates if the value may be null. /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - /// - /// Optional. Indicates if the value may be null. + /// + /// Optional. Properties of Type.OBJECT. /// /// /// Optional. Example of the object. Will only populated when the object is the root. /// + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// + /// Optional. The title of the schema. + /// /// /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Required. Data type. /// - /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// - /// - /// 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. Minimum number of the elements for Type.ARRAY. /// - /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - /// - /// 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. The title of the schema. + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - /// - /// 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"]} /// /// /// Optional. Maximum length of the Type.STRING /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. - /// - /// - /// Optional. Maximum number of the properties for Type.OBJECT. - /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Required. Data type. + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// Optional. Maximum number of the elements for Type.ARRAY. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// Optional. Required properties of Type.OBJECT. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - string? description, - double? minimum, - string? format, - string? maxItems, + global::System.Collections.Generic.IList? anyOf, bool? nullable, + string? maxProperties, + string? minLength, + global::System.Collections.Generic.Dictionary? properties, object? example, + string? format, + string? title, string? pattern, + global::Google.Gemini.SchemaType? type, + global::System.Collections.Generic.IList? propertyOrdering, + string? minItems, + string? description, + string? minProperties, + object? @default, double? maximum, global::System.Collections.Generic.IList? @enum, - global::Google.Gemini.Schema? items, - object? @default, - global::System.Collections.Generic.IList? propertyOrdering, - string? title, - global::System.Collections.Generic.Dictionary? properties, - global::System.Collections.Generic.IList? required, string? maxLength, - string? minProperties, - string? maxProperties, - global::System.Collections.Generic.IList? anyOf, - global::Google.Gemini.SchemaType? type, - string? minItems, - string? minLength) + global::Google.Gemini.Schema? items, + double? minimum, + string? maxItems, + global::System.Collections.Generic.IList? required) { - this.Description = description; - this.Minimum = minimum; - this.Format = format; - this.MaxItems = maxItems; + this.AnyOf = anyOf; this.Nullable = nullable; + this.MaxProperties = maxProperties; + this.MinLength = minLength; + this.Properties = properties; this.Example = example; + this.Format = format; + this.Title = title; this.Pattern = pattern; + this.Type = type; + this.PropertyOrdering = propertyOrdering; + this.MinItems = minItems; + this.Description = description; + this.MinProperties = minProperties; + this.Default = @default; this.Maximum = maximum; this.Enum = @enum; + this.MaxLength = maxLength; this.Items = items; - this.Default = @default; - this.PropertyOrdering = propertyOrdering; - this.Title = title; - this.Properties = properties; + this.Minimum = minimum; + this.MaxItems = maxItems; this.Required = required; - this.MaxLength = maxLength; - this.MinProperties = minProperties; - this.MaxProperties = maxProperties; - this.AnyOf = anyOf; - this.Type = type; - this.MinItems = minItems; - this.MinLength = minLength; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs index 5b7ed61e..1bf661d7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchTypes.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SearchTypes { - /// - /// Image search for grounding and related configurations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearch")] - public global::Google.Gemini.ImageSearch? ImageSearch { get; set; } - /// /// Standard web search for grounding and related configurations. /// [global::System.Text.Json.Serialization.JsonPropertyName("webSearch")] public global::Google.Gemini.WebSearch? WebSearch { get; set; } + /// + /// Image search for grounding and related configurations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearch")] + public global::Google.Gemini.ImageSearch? ImageSearch { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SearchTypes /// /// Initializes a new instance of the class. /// - /// - /// Image search for grounding and related configurations. - /// /// /// Standard web search for grounding and related configurations. /// + /// + /// Image search for grounding and related configurations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchTypes( - global::Google.Gemini.ImageSearch? imageSearch, - global::Google.Gemini.WebSearch? webSearch) + global::Google.Gemini.WebSearch? webSearch, + global::Google.Gemini.ImageSearch? imageSearch) { - this.ImageSearch = imageSearch; this.WebSearch = webSearch; + this.ImageSearch = imageSearch; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs index 24d94e40..45f30e57 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class SemanticRetrieverChunk { /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - public string? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] + public string? Chunk { get; set; } /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] - public string? Chunk { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + public string? Source { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class SemanticRetrieverChunk /// /// Initializes a new instance of the class. /// - /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
- /// Included only in responses - /// /// /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// + /// + /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SemanticRetrieverChunk( - string? source, - string? chunk) + string? chunk, + string? source) { - this.Source = source; this.Chunk = chunk; + this.Source = source; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index 3c841859..d7b2aff2 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 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] - public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] + public string? LanguageCode { get; set; } /// /// The configuration for the voice to use. @@ -21,10 +21,10 @@ public sealed partial class SpeechConfig public global::Google.Gemini.VoiceConfig? VoiceConfig { 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 multi-speaker setup. /// - [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] - public string? LanguageCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] + public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the multi-speaker setup. + /// + /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// /// /// The configuration for the voice to use. /// - /// - /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( - global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, + string? languageCode, global::Google.Gemini.VoiceConfig? voiceConfig, - string? languageCode) + global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) { - this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; - this.VoiceConfig = voiceConfig; this.LanguageCode = languageCode; + this.VoiceConfig = voiceConfig; + this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index 7f09920e..08b87489 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 list of messages that carry the error details. There is a common set of message types for APIs to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("details")] - public global::System.Collections.Generic.IList? Details { get; set; } - /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("details")] + public global::System.Collections.Generic.IList? Details { get; set; } + /// /// 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 list of messages that carry the error details. There is a common set of message types for APIs to use. - /// /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( int? code, - global::System.Collections.Generic.IList? details, - string? message) + string? message, + global::System.Collections.Generic.IList? details) { this.Code = code; - this.Details = details; this.Message = message; + this.Details = details; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index 056e65a9..908cd998 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class StreamableHttpTransport { - /// - /// 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. /// @@ -26,18 +20,24 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] public string? Timeout { get; set; } - /// - /// Timeout for SSE read operations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] - public string? SseReadTimeout { get; set; } - /// /// Whether to close the client session when the transport closes. /// [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] public bool? TerminateOnClose { get; set; } + /// + /// 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; } + + /// + /// Timeout for SSE read operations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] + public string? SseReadTimeout { 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. /// - /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" - /// /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// /// /// HTTP timeout for regular operations. /// - /// - /// Timeout for SSE read operations. - /// /// /// Whether to close the client session when the transport closes. /// + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// + /// + /// Timeout for SSE read operations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - string? url, global::System.Collections.Generic.Dictionary? headers, string? timeout, - string? sseReadTimeout, - bool? terminateOnClose) + bool? terminateOnClose, + string? url, + string? sseReadTimeout) { - this.Url = url; this.Headers = headers; this.Timeout = timeout; - this.SseReadTimeout = sseReadTimeout; this.TerminateOnClose = terminateOnClose; + this.Url = url; + this.SseReadTimeout = sseReadTimeout; } /// 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 45dec48f..f9cff527 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 @@ -14,6 +14,12 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] public int? ThinkingBudget { get; set; } + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] + public bool? IncludeThoughts { get; set; } + /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// @@ -21,12 +27,6 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] - public bool? IncludeThoughts { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ 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. - /// /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( int? thinkingBudget, - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, - bool? includeThoughts) + bool? includeThoughts, + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) { this.ThinkingBudget = thinkingBudget; - this.ThinkingLevel = thinkingLevel; this.IncludeThoughts = includeThoughts; + this.ThinkingLevel = thinkingLevel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs index 2088085a..301ebb15 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Tool { - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } - /// /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// @@ -21,10 +15,10 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// - /// Tool to support URL context retrieval. + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] - public global::Google.Gemini.UrlContext? UrlContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. @@ -32,12 +26,6 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] public global::Google.Gemini.FileSearch? FileSearch { get; set; } - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } - /// /// 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. /// @@ -50,18 +38,30 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } - /// - /// Optional. MCP Servers to connect to. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] - public global::System.Collections.Generic.IList? McpServers { get; set; } - /// /// 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; } + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + + /// + /// Tool to support URL context retrieval. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } + + /// + /// Optional. MCP Servers to connect to. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] + public global::System.Collections.Generic.IList? McpServers { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -71,56 +71,56 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// /// /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - /// - /// Tool to support URL context retrieval. + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. - /// /// /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// /// /// Computer Use tool type. /// - /// - /// Optional. MCP Servers to connect to. - /// /// /// Tool to retrieve public web data for grounding, powered by Google. /// + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + /// + /// Tool to support URL context retrieval. + /// + /// + /// Optional. MCP Servers to connect to. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.GoogleSearch? googleSearch, global::System.Collections.Generic.IList? functionDeclarations, - global::Google.Gemini.UrlContext? urlContext, - global::Google.Gemini.FileSearch? fileSearch, global::Google.Gemini.GoogleMaps? googleMaps, + global::Google.Gemini.FileSearch? fileSearch, global::Google.Gemini.CodeExecution? codeExecution, global::Google.Gemini.ComputerUse? computerUse, - global::System.Collections.Generic.IList? mcpServers, - global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval) + global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, + global::Google.Gemini.GoogleSearch? googleSearch, + global::Google.Gemini.UrlContext? urlContext, + global::System.Collections.Generic.IList? mcpServers) { - this.GoogleSearch = googleSearch; this.FunctionDeclarations = functionDeclarations; - this.UrlContext = urlContext; - this.FileSearch = fileSearch; this.GoogleMaps = googleMaps; + this.FileSearch = fileSearch; this.CodeExecution = codeExecution; this.ComputerUse = computerUse; - this.McpServers = mcpServers; this.GoogleSearchRetrieval = googleSearchRetrieval; + this.GoogleSearch = googleSearch; + this.UrlContext = urlContext; + this.McpServers = mcpServers; } /// 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 74dded94..eb31d18b 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 78771bbc..6357a634 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ToolConfig { - /// - /// Configuration for specifying function calling behavior. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] - public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } - /// /// Retrieval config. /// @@ -26,6 +20,12 @@ public sealed partial class ToolConfig [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] public bool? IncludeServerSideToolInvocations { get; set; } + /// + /// Configuration for specifying function calling behavior. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] + public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// - /// - /// Configuration for specifying function calling behavior. - /// /// /// Retrieval config. /// /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// + /// + /// Configuration for specifying function calling behavior. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, global::Google.Gemini.RetrievalConfig? retrievalConfig, - bool? includeServerSideToolInvocations) + bool? includeServerSideToolInvocations, + global::Google.Gemini.FunctionCallingConfig? functionCallingConfig) { - this.FunctionCallingConfig = functionCallingConfig; this.RetrievalConfig = retrievalConfig; this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; + this.FunctionCallingConfig = functionCallingConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index 1a5f51ec..f67a9ee8 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.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index 6695f710..01d1cd6b 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 @@ -27,18 +27,11 @@ public sealed partial class TunedModel public float? Temperature { get; set; } /// - /// Output only. The state of the tuned model.
+ /// Output only. The timestamp when this model was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] - public global::Google.Gemini.TunedModelState? State { get; set; } - - /// - /// Tuned model as a source for training a new model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. The timestamp when this model was updated.
@@ -48,30 +41,29 @@ public sealed partial class TunedModel public string? UpdateTime { get; set; } /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// Tuned model as a source for training a new model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Output only. The timestamp when this model was created.
+ /// 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("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// Optional. List of project numbers that have read access to the tuned model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses + /// Tuning tasks that create tuned models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. @@ -80,16 +72,24 @@ public sealed partial class TunedModel public float? TopP { get; set; } /// - /// Tuning tasks that create tuned models. + /// Output only. The state of the tuned model.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Optional. List of project numbers that have read access to the tuned model. + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -109,39 +109,39 @@ public sealed partial class TunedModel /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Output only. The state of the tuned model.
+ /// + /// Output only. The timestamp when this model was created.
/// Included only in responses /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Output only. The timestamp when this model was updated.
/// Included only in responses /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// - /// - /// Output only. The timestamp when this model was created.
- /// Included only in responses - /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Tuned model as a source for training a new 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. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Tuning tasks that create tuned models. /// - /// - /// Optional. List of project numbers that have read access to the tuned model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Output only. The state of the tuned model.
+ /// Included only in responses + /// + /// + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] @@ -150,30 +150,30 @@ public TunedModel( string? description, int? topK, float? temperature, - global::Google.Gemini.TunedModelState? state, - global::Google.Gemini.TunedModelSource? tunedModelSource, - string? updateTime, - string? displayName, string? createTime, - string? baseModel, + string? updateTime, + global::Google.Gemini.TunedModelSource? tunedModelSource, string? name, - float? topP, + global::System.Collections.Generic.IList? readerProjectNumbers, global::Google.Gemini.TuningTask? tuningTask, - global::System.Collections.Generic.IList? readerProjectNumbers) + float? topP, + global::Google.Gemini.TunedModelState? state, + string? displayName, + string? baseModel) { this.Description = description; this.TopK = topK; this.Temperature = temperature; - this.State = state; - this.TunedModelSource = tunedModelSource; - this.UpdateTime = updateTime; - this.DisplayName = displayName; this.CreateTime = createTime; - this.BaseModel = baseModel; + this.UpdateTime = updateTime; + this.TunedModelSource = tunedModelSource; this.Name = name; - this.TopP = topP; - this.TuningTask = tuningTask; this.ReaderProjectNumbers = readerProjectNumbers; + this.TuningTask = tuningTask; + this.TopP = topP; + this.State = state; + this.DisplayName = displayName; + this.BaseModel = baseModel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs index 8d81afc5..9f62ece2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class TunedModelSource { + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] + public string? TunedModel { get; set; } + /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class TunedModelSource [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] public string? BaseModel { get; set; } - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModel")] - public string? TunedModel { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class TunedModelSource /// /// Initializes a new instance of the class. /// + /// + /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` + /// /// /// Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`
/// Included only in responses /// - /// - /// Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModelSource( - string? baseModel, - string? tunedModel) + string? tunedModel, + string? baseModel) { - this.BaseModel = baseModel; this.TunedModel = tunedModel; + this.BaseModel = baseModel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs index 4b05ee7f..d503fa2c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningExample.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class TuningExample { - /// - /// Optional. Text model input. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("textInput")] - public string? TextInput { get; set; } - /// /// Required. The expected model output. /// [global::System.Text.Json.Serialization.JsonPropertyName("output")] public string? Output { get; set; } + /// + /// Optional. Text model input. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("textInput")] + public string? TextInput { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class TuningExample /// /// Initializes a new instance of the class. /// - /// - /// Optional. Text model input. - /// /// /// Required. The expected model output. /// + /// + /// Optional. Text model input. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningExample( - string? textInput, - string? output) + string? output, + string? textInput) { - this.TextInput = textInput; this.Output = output; + this.TextInput = textInput; } /// 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 75fdb41d..0b421a62 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 @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class TuningSnapshot { + /// + /// Output only. The tuning step.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("step")] + public int? Step { get; set; } + /// /// Output only. The epoch this step was part of.
/// Included only in responses @@ -22,13 +29,6 @@ public sealed partial class TuningSnapshot [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] public string? ComputeTime { get; set; } - /// - /// Output only. The tuning step.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("step")] - public int? Step { get; set; } - /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses @@ -45,6 +45,10 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// + /// + /// Output only. The tuning step.
+ /// Included only in responses + /// /// /// Output only. The epoch this step was part of.
/// Included only in responses @@ -53,10 +57,6 @@ public sealed partial class TuningSnapshot /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - /// - /// Output only. The tuning step.
- /// Included only in responses - /// /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses @@ -65,14 +65,14 @@ public sealed partial class TuningSnapshot [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( + int? step, int? epoch, string? computeTime, - int? step, float? meanLoss) { + this.Step = step; this.Epoch = epoch; this.ComputeTime = computeTime; - this.Step = step; this.MeanLoss = meanLoss; } 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 ac0d4bf8..0b4c4ccd 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 @@ -15,13 +15,6 @@ public sealed partial class TuningTask [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] public string? StartTime { get; set; } - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] - public string? CompleteTime { get; set; } - /// /// Output only. Metrics collected during tuning.
/// Included only in responses @@ -30,10 +23,11 @@ public sealed partial class TuningTask public global::System.Collections.Generic.IList? Snapshots { get; set; } /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] - public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] + public string? CompleteTime { get; set; } /// /// Dataset for training or validation. @@ -41,6 +35,12 @@ public sealed partial class TuningTask [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 + /// + [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] + public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -54,35 +54,35 @@ public sealed partial class TuningTask /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses - /// /// /// Output only. Metrics collected during tuning.
/// Included only in responses /// - /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses /// /// /// Dataset for training or validation. /// + /// + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( string? startTime, - string? completeTime, global::System.Collections.Generic.IList? snapshots, - global::Google.Gemini.Hyperparameters? hyperparameters, - global::Google.Gemini.Dataset? trainingData) + string? completeTime, + global::Google.Gemini.Dataset? trainingData, + global::Google.Gemini.Hyperparameters? hyperparameters) { this.StartTime = startTime; - this.CompleteTime = completeTime; this.Snapshots = snapshots; - this.Hyperparameters = hyperparameters; + this.CompleteTime = completeTime; this.TrainingData = trainingData; + this.Hyperparameters = hyperparameters; } /// 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 16b9223e..8020c646 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 @@ -14,18 +14,18 @@ public sealed partial class UploadToFileSearchStoreRequest [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; } + /// + /// Custom metadata to be associated with the data. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -44,12 +44,12 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// 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. /// + /// + /// Custom metadata to be associated with the data. + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -58,13 +58,13 @@ public sealed partial class UploadToFileSearchStoreRequest #endif public UploadToFileSearchStoreRequest( string? mimeType, - global::System.Collections.Generic.IList? customMetadata, string? displayName, + global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.ChunkingConfig? chunkingConfig) { this.MimeType = mimeType; - this.CustomMetadata = customMetadata; this.DisplayName = displayName; + this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; } 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 b209af7d..12b32fe6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -9,12 +9,11 @@ namespace Google.Gemini public sealed partial class UsageMetadata { /// - /// Output only. Service tier of the request.
+ /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter))] - public global::Google.Gemini.UsageMetadataServiceTier? ServiceTier { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } /// /// Output only. Number of tokens of thoughts for thinking models.
@@ -24,24 +23,11 @@ public sealed partial class UsageMetadata public int? ThoughtsTokenCount { get; set; } /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses - /// - [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).
+ /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } - - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [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) @@ -56,11 +42,10 @@ public sealed partial class UsageMetadata public int? CandidatesTokenCount { get; set; } /// - /// Output only. List of modalities that were returned in the response.
- /// Included only in responses + /// Total token count for the generation request (prompt + thoughts + response candidates). /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } /// /// Output only. List of modalities that were processed in the request input.
@@ -70,17 +55,32 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Output only. List of modalities of the cached content in the request input.
+ /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// - /// Total token count for the generation request (prompt + thoughts + 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("totalTokenCount")] - public int? TotalTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } + + /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } + + /// + /// Output only. Service tier of the request.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter))] + public global::Google.Gemini.UsageMetadataServiceTier? ServiceTier { get; set; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -105,45 +105,45 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. Service tier of the request.
+ /// + /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// /// /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses - /// - /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// + /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// /// /// 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 returned in the response.
- /// Included only in responses + /// + /// Total token count for the generation request (prompt + thoughts + response candidates). /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Output only. List of modalities of the cached content in the request input.
+ /// + /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// - /// - /// Total token count for the generation request (prompt + thoughts + response candidates). + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses + /// + /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + /// + /// Output only. Service tier of the request.
+ /// Included only in responses /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -157,31 +157,31 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - global::Google.Gemini.UsageMetadataServiceTier? serviceTier, - int? thoughtsTokenCount, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, int? toolUsePromptTokenCount, - int? promptTokenCount, + int? thoughtsTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, int? cachedContentTokenCount, int? candidatesTokenCount, - global::System.Collections.Generic.IList? candidatesTokensDetails, - global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, int? totalTokenCount, + global::System.Collections.Generic.IList? promptTokensDetails, + global::System.Collections.Generic.IList? candidatesTokensDetails, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + int? promptTokenCount, + global::Google.Gemini.UsageMetadataServiceTier? serviceTier, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.ServiceTier = serviceTier; - this.ThoughtsTokenCount = thoughtsTokenCount; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.PromptTokenCount = promptTokenCount; + this.ThoughtsTokenCount = thoughtsTokenCount; + this.CacheTokensDetails = cacheTokensDetails; this.CachedContentTokenCount = cachedContentTokenCount; this.CandidatesTokenCount = candidatesTokenCount; - this.CandidatesTokensDetails = candidatesTokensDetails; - this.PromptTokensDetails = promptTokensDetails; - this.CacheTokensDetails = cacheTokensDetails; this.TotalTokenCount = totalTokenCount; + this.PromptTokensDetails = promptTokensDetails; + this.CandidatesTokensDetails = candidatesTokensDetails; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.PromptTokenCount = promptTokenCount; + this.ServiceTier = serviceTier; 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 1ade518a..0745a565 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 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 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 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 start offset of the video. - /// /// /// Optional. The end offset of the video. /// + /// + /// Optional. The start 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? startOffset, string? endOffset, + string? startOffset, double? fps) { - this.StartOffset = startOffset; this.EndOffset = endOffset; + this.StartOffset = startOffset; this.Fps = fps; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs index 31d654f1..76dde679 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Web.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class Web { /// - /// Output only. Title of the chunk.
+ /// Output only. URI reference of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Output only. URI reference of the chunk.
+ /// Output only. Title of the chunk.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class Web /// /// Initializes a new instance of the class. /// - /// - /// Output only. Title of the chunk.
- /// Included only in responses - /// /// /// Output only. URI reference of the chunk.
/// Included only in responses /// + /// + /// Output only. Title of the chunk.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Web( - string? title, - string? uri) + string? uri, + string? title) { - this.Title = title; this.Uri = uri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs index 6775dc95..df96fff2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class WhiteSpaceConfig { - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] - public int? MaxOverlapTokens { get; set; } - /// /// Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow. /// [global::System.Text.Json.Serialization.JsonPropertyName("maxTokensPerChunk")] public int? MaxTokensPerChunk { get; set; } + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] + public int? MaxOverlapTokens { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class WhiteSpaceConfig /// /// Initializes a new instance of the class. /// - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// /// /// Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow. /// + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public WhiteSpaceConfig( - int? maxOverlapTokens, - int? maxTokensPerChunk) + int? maxTokensPerChunk, + int? maxOverlapTokens) { - this.MaxOverlapTokens = maxOverlapTokens; this.MaxTokensPerChunk = maxTokensPerChunk; + this.MaxOverlapTokens = maxOverlapTokens; } /// diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 3c7e4175..23d739d8 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,36 +11,38 @@ } ], "paths": { - "/generatedFiles": { - "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.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. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -48,27 +50,19 @@ } } }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "/tunedModels/{tunedModelsId}": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "generatedFilesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -78,33 +72,31 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/cachedContents/{cachedContentsId}": { + }, "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{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": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } }, { "name": "updateMask", "in": "query", - "description": "The list of fields to update.", + "description": "Optional. The list of fields to update.", "schema": { "type": "string", "format": "google-fieldmask" @@ -115,7 +107,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/TunedModel" } } } @@ -126,35 +118,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - } - } - }, - "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", - "parameters": [ - { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/TunedModel" } } } @@ -162,17 +126,17 @@ } }, "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "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 resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -190,15 +154,23 @@ } } }, - "/cachedContents": { + "/tunedModels": { "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.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. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", + "description": "Optional. The maximum number of `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" @@ -207,7 +179,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `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" } @@ -219,7 +191,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } @@ -227,13 +199,23 @@ } }, "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", + "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" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/TunedModel" } } } @@ -244,7 +226,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Operation" } } } @@ -252,65 +234,82 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + "/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": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + } + }, + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Operation" } } } @@ -318,15 +317,27 @@ } } }, - "/fileSearchStores": { + "/tunedModels/{tunedModelsId}:transferOwnership": { "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -337,62 +348,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } } } - }, - "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.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": "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": { - "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" - } - } - } - } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { - "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", - "parameters": [ - { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -400,7 +376,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -419,13 +395,13 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -433,13 +409,13 @@ } }, { - "name": "fileSearchStoresId", + "name": "permissionsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -449,21 +425,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -471,13 +445,13 @@ } }, { - "name": "fileSearchStoresId", + "name": "permissionsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -487,21 +461,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -509,83 +481,94 @@ } }, { - "name": "documentsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/Permission" } } } } } - }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + } + }, + "/tunedModels/{tunedModelsId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "documentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "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" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents": { + }, "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "description": "Optional. The maximum number of `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" @@ -594,19 +577,19 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `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": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -616,7 +599,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -624,31 +607,30 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "operationsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", @@ -663,15 +645,33 @@ } } }, - "/models": { + "/tunedModels/{tunedModelsId}/operations": { "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 operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "tunedModels.operations.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -680,10 +680,18 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" + } } ], "responses": { @@ -692,7 +700,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -700,19 +708,94 @@ } } }, - "/models/{modelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + "/generatedFiles": { + "get": { + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ { - "name": "modelsId", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListGeneratedFilesResponse" + } + } + } + } + } + } + }, + "/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": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "generatedFilesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/dynamic/{dynamicId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", + "parameters": [ + { + "name": "dynamicId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -720,7 +803,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -731,7 +814,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -739,19 +822,19 @@ } } }, - "/models/{modelsId}:countTokens": { + "/dynamic/{dynamicId}:streamGenerateContent": { "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "modelsId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -759,7 +842,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -770,7 +853,49 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" + } + } + } + } + } + } + }, + "/models": { + "get": { + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -808,10 +933,10 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { + "/models/{modelsId}:asyncBatchEmbedContent": { "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": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { "name": "modelsId", @@ -828,7 +953,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -839,12 +964,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -852,16 +972,16 @@ } } }, - "/models/{modelsId}:generateContent": { + "/models/{modelsId}:countTokens": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -872,7 +992,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/CountTokensRequest" } } } @@ -883,7 +1003,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -891,16 +1011,16 @@ } } }, - "/models/{modelsId}:embedContent": { + "/models/{modelsId}:streamGenerateContent": { "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + "description": "Generates a [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 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/[^/]+$" @@ -911,7 +1031,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -922,7 +1042,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -930,16 +1055,16 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { + "/models/{modelsId}:batchGenerateContent": { "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": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", "pattern": "^models/[^/]+$" @@ -950,7 +1075,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -961,7 +1086,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -969,62 +1094,38 @@ } } }, - "/models/{modelsId}/operations": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + "/models/{modelsId}:embedContent": { + "post": { + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, { "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", "pattern": "^models/[^/]+$" } - }, - { - "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" - } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -1032,53 +1133,27 @@ } } }, - "/models/{modelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", + "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/files": { - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1089,42 +1164,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" - } - } - } - } - } - }, - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", - "schema": { - "type": "string" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1132,19 +1172,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "/models/{modelsId}:batchEmbedContents": { "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1152,7 +1192,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + "$ref": "#/components/schemas/BatchEmbedContentsRequest" } } } @@ -1163,7 +1203,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -1171,47 +1211,27 @@ } } }, - "/batches/{batchesId}": { - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", "parameters": [ { - "name": "batchesId", + "name": "operationsId", "in": "path", "required": true, - "description": "The name of the operation resource to be deleted.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } + "type": "string" } - } - } - }, - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", - "parameters": [ + }, { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], @@ -1229,10 +1249,10 @@ } } }, - "/batches": { + "/models/{modelsId}/operations": { "get": { "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "operationId": "models.operations.list", "parameters": [ { "name": "filter", @@ -1242,6 +1262,16 @@ "type": "string" } }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", @@ -1282,19 +1312,19 @@ } } }, - "/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", + "/files/{filesId}": { + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", "parameters": [ { - "name": "batchesId", + "name": "filesId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^files/[^/]+$" } } ], @@ -1310,38 +1340,45 @@ } } } - } - }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + }, + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "batchesId", + "name": "filesId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^files/[^/]+$" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/File" + } + } + } + } + } + } + }, + "/files:register": { + "post": { + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/RegisterFilesRequest" } } } @@ -1352,7 +1389,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/RegisterFilesResponse" } } } @@ -1360,36 +1397,50 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/files": { + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "batchesId", - "in": "path", - "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "integer", + "format": "int32" } }, { - "name": "updateMask", + "name": "pageToken", "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Optional. A page token from a previous `ListFiles` call.", "schema": { - "type": "string", - "format": "google-fieldmask" + "type": "string" } } ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListFilesResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/CreateFileRequest" } } } @@ -1400,7 +1451,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -1408,27 +1459,15 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { + "/cachedContents": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", - "parameters": [ - { - "name": "dynamicId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^dynamic/[^/]+$" - } - } - ], + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1439,51 +1478,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/dynamic/{dynamicId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "dynamic.streamGenerateContent", + }, + "get": { + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ { - "name": "dynamicId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "schema": { - "type": "string", - "pattern": "^dynamic/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } @@ -1491,19 +1521,19 @@ } } }, - "/corpora/{corporaId}": { + "/cachedContents/{cachedContentsId}": { "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "corporaId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -1513,7 +1543,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1521,25 +1551,17 @@ } }, "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "corporaId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -1555,63 +1577,47 @@ } } } - } - }, - "/corpora": { - "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Corpus" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Corpus" - } - } - } - } - } }, - "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^cachedContents/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "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": "The list of fields to update.", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1619,27 +1625,19 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { + "/batches/{batchesId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "operationId": "batches.get", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "batchesId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -1655,29 +1653,19 @@ } } } - } - }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + }, + "delete": { + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -1687,39 +1675,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } } } - }, + } + }, + "/batches/{batchesId}:updateEmbedContentBatch": { "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "batchesId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^batches/[^/]+$" } }, { "name": "updateMask", "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Optional. The list of fields to update.", "schema": { "type": "string", "format": "google-fieldmask" @@ -1730,7 +1712,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -1741,33 +1723,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/EmbedContentBatch" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/batches/{batchesId}:cancel": { + "post": { + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -1785,52 +1761,23 @@ } } }, - "/corpora/{corporaId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + "/batches": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } + "type": "string" } - } - } - }, - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", - "parameters": [ + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -1839,19 +1786,17 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" + "type": "boolean" } } ], @@ -1861,7 +1806,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1869,15 +1814,36 @@ } } }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -1888,7 +1854,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -1896,96 +1862,100 @@ } } }, - "/files/{filesId}": { - "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "post": { + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { - "name": "filesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } } } - }, - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", - "parameters": [ - { - "name": "filesId", - "in": "path", - "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", - "schema": { - "type": "string", - "pattern": "^files/[^/]+$" + } + }, + "/fileSearchStores": { + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + }, + "get": { + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -1993,19 +1963,19 @@ } } }, - "/tunedModels/{tunedModelsId}": { - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2015,25 +1985,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/FileSearchStore" } } } } } }, - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -2043,34 +2021,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + } + }, + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "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/[^/]+$" } } ], @@ -2078,7 +2049,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -2089,7 +2060,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Operation" } } } @@ -2097,34 +2068,71 @@ } } }, - "/tunedModels": { + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", + "name": "fileSearchStoresId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Document" + } + } + } + } + } + }, + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", + "parameters": [ + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "schema": { + "type": "string" } }, { - "name": "pageToken", + "name": "force", "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", "schema": { - "type": "string" + "type": "boolean" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -2134,42 +2142,54 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "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", + } + }, + "/fileSearchStores/{fileSearchStoresId}/documents": { + "get": { + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "tunedModelId", + "name": "pageSize", "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "description": "Optional. 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" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "schema": { + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -2177,31 +2197,30 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", @@ -2216,38 +2235,37 @@ } } }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2255,82 +2273,65 @@ } } }, - "/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", + "/corpora/{corporaId}": { + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "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" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + }, + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Corpus" } } } @@ -2338,62 +2339,61 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { + "/corpora": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ { - "name": "filter", + "name": "pageSize", "in": "query", - "description": "The standard list filter.", + "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "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" + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListCorporaResponse" + } + } } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" + } + } + }, + "post": { + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/Corpus" } } } @@ -2401,13 +2401,13 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -2415,13 +2415,13 @@ } }, { - "name": "operationsId", + "name": "corporaId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -2439,19 +2439,36 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "/corpora/{corporaId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -2478,34 +2495,25 @@ } }, "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "name": "permissionsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "tunedModelsId", + "name": "corporaId", "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 permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -2515,21 +2523,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + }, "delete": { "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -2537,13 +2543,13 @@ } }, { - "name": "permissionsId", + "name": "corporaId", "in": "path", "required": true, "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -2559,36 +2565,21 @@ } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + } + }, + "/corpora/{corporaId}/permissions": { + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^corpora/[^/]+$" } } ], @@ -2615,25 +2606,34 @@ } }, "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "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": "permissionsId", + "name": "corporaId", "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 parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -2643,7 +2643,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -2654,1219 +2654,1097 @@ }, "components": { "schemas": { - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" - } - }, - "type": "object" - }, - "FunctionResponsePart": { - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "SpeechConfig": { + "description": "Config for speech generation and transcription.", + "type": "object", "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" + "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": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "The configuration in case of single-voice output." + }, + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" } - }, - "type": "object" + } }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", "properties": { - "totalTokenCount": { - "format": "int32", - "description": "Total number of tokens that the cached content consumes.", - "type": "integer" + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number", + "format": "float" + }, + "mode": { + "x-enum-descriptions": [ + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], + "type": "string", + "description": "The mode of the predictor to be used in dynamic retrieval.", + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ] } }, "type": "object" }, - "ModelStatus": { - "type": "object", - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", + "GenerateContentResponse": { "properties": { - "message": { - "description": "A message explaining the model status.", - "type": "string" + "candidates": { + "description": "Candidate responses from the model.", + "items": { + "$ref": "#/components/schemas/Candidate" + }, + "type": "array" }, - "modelStage": { - "type": "string", - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ], - "description": "The stage of the underlying model.", - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ], - "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." - ] - }, - "retirementTime": { - "type": "string", - "description": "The time at which the model will be retired.", - "format": "google-datetime" - } - } - }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", - "properties": { - "response": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "type": "object" + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" }, - "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." - } + "modelStatus": { + "description": "Output only. The current model status of this model.", + "$ref": "#/components/schemas/ModelStatus", + "readOnly": true }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "usageMetadata": { + "description": "Output only. Metadata on the generation requests' token usage.", + "$ref": "#/components/schemas/UsageMetadata", + "readOnly": true }, - "done": { - "type": "boolean", - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + "responseId": { + "description": "Output only. response_id is used to identify each response.", + "type": "string", + "readOnly": true }, - "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" + "modelVersion": { + "type": "string", + "readOnly": true, + "description": "Output only. The model version used to generate the response." } }, - "type": "object" + "type": "object", + "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`." }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "properties": { - "startIndex": { - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "type": "integer", - "format": "int32" - }, - "endIndex": { - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "type": "integer", - "format": "int32" - }, - "partIndex": { - "format": "int32", - "description": "The index of a Part object within its parent Content object.", - "type": "integer" + "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" }, - "text": { + "data": { "type": "string", - "description": "The text corresponding to the segment from the response." + "format": "byte", + "description": "Raw bytes for media formats." } }, "type": "object" }, - "EmbedContentResponse": { + "GroundingChunkCustomMetadata": { + "description": "User provided metadata about the GroundingFact.", "type": "object", - "description": "The response to an `EmbedContentRequest`.", "properties": { - "usageMetadata": { - "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" }, - "embedding": { - "description": "Output only. The embedding generated from the input content.", - "$ref": "#/components/schemas/ContentEmbedding", - "readOnly": true - } - } - }, - "ListFilesResponse": { - "type": "object", - "description": "Response for `ListFiles`.", - "properties": { - "files": { - "description": "The list of `File`s.", - "items": { - "$ref": "#/components/schemas/File" - }, - "type": "array" + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "key": { + "description": "The key of the metadata.", "type": "string" + }, + "numericValue": { + "type": "number", + "format": "float", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." } } }, - "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", + "TunedModel": { + "type": "object", "properties": { + "description": { + "description": "Optional. A short description of this model.", + "type": "string" + }, + "topK": { + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", + "type": "integer", + "format": "int32" + }, "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].", + "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" }, - "responseMimeType": { + "createTime": { + "readOnly": true, "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." + "format": "google-datetime", + "description": "Output only. The timestamp when this model was created." }, - "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" + "updateTime": { + "type": "string", + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The timestamp when this model was updated." }, - "responseModalities": { - "type": "array", - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", - "items": { - "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" - ] - } + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" + "name": { + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "readOnly": true, + "type": "string" }, - "stopSequences": { + "readerProjectNumbers": { + "description": "Optional. List of project numbers that have read access to the tuned model.", "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.", "items": { - "type": "string" + "type": "string", + "format": "int64" } }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" - }, - "topK": { - "format": "int32", - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "integer" + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" }, - "frequencyPenalty": { + "topP": { + "type": "number", "format": "float", - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "type": "number" - }, - "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" - }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "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." }, - "mediaResolution": { - "description": "Optional. If specified, the media resolution specified will be used.", - "type": "string", + "state": { "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." ], "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ] + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ], + "type": "string", + "readOnly": true, + "description": "Output only. The state of the tuned model." }, - "seed": { + "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" + }, + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" + } + }, + "description": "A fine-tuned model created using ModelService.CreateTunedModel." + }, + "UsageMetadata": { + "type": "object", + "properties": { + "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "type": "integer", "format": "int32", + "readOnly": true + }, + "thoughtsTokenCount": { "type": "integer", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." + "format": "int32", + "readOnly": true, + "description": "Output only. Number of tokens of thoughts for thinking models." }, - "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.", - "$ref": "#/components/schemas/ImageConfig" + "cacheTokensDetails": { + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities of the cached content in the request input." }, - "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)", + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content)", "type": "integer", "format": "int32" }, - "maxOutputTokens": { + "candidatesTokenCount": { "type": "integer", - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "format": "int32" + "format": "int32", + "description": "Total number of tokens across all the generated response candidates." }, - "topP": { - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "number", - "format": "float" + "totalTokenCount": { + "type": "integer", + "format": "int32", + "description": "Total token count for the generation request (prompt + thoughts + response candidates)." }, - "responseLogprobs": { - "type": "boolean", - "description": "Optional. If true, export the logprobs results in response." + "promptTokensDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "presencePenalty": { - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", - "type": "number", - "format": "float" - } - }, - "type": "object" - }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", - "properties": { - "citationSources": { + "candidatesTokensDetails": { "type": "array", - "description": "Citations to sources for a specific response.", + "readOnly": true, "items": { - "$ref": "#/components/schemas/CitationSource" + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were returned in the response." + }, + "toolUsePromptTokensDetails": { + "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, + "promptTokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content." + }, + "serviceTier": { + "readOnly": true, + "type": "string", + "description": "Output only. Service tier of the request.", + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ] + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" } } }, - "type": "object" + "description": "Metadata on the generation request's token usage." }, - "Status": { + "ExecutableCode": { + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", "type": "object", - "description": "The `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": { - "format": "int32", - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer" + "description": "Required. The code to be executed.", + "type": "string" }, - "details": { + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "type": "string" + }, + "language": { + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], + "type": "string", + "description": "Required. Programming language of the `code`.", + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ] + } + } + }, + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", + "type": "object", + "properties": { + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "type": "string" + }, + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", "type": "array", - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "$ref": "#/components/schemas/GeneratedFile" } - }, - "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" } } }, - "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.", + "CreateFileRequest": { "properties": { - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" + "file": { + "$ref": "#/components/schemas/File", + "description": "Optional. Metadata for the file to create." + } + }, + "type": "object", + "description": "Request for `CreateFile`." + }, + "RegisterFilesRequest": { + "type": "object", + "properties": { + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "items": { + "type": "string" + }, + "type": "array" + } + }, + "description": "Request for `RegisterFiles`." + }, + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "description": "Grounding support.", + "properties": { + "segment": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment", + "description": "Segment of the content this support belongs to." }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" + "confidenceScores": { + "items": { + "type": "number", + "format": "float" + }, + "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." }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "groundingChunkIndices": { + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "items": { + "type": "integer", + "format": "int32" + }, + "type": "array" }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "renderedParts": { + "readOnly": true, + "items": { + "type": "integer", + "format": "int32" + }, + "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." } }, "type": "object" }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", "properties": { - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." - }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "batch": { + "$ref": "#/components/schemas/EmbedContentBatch", + "description": "Required. The batch to create." } }, "type": "object" }, - "ChunkingConfig": { + "InlinedEmbedContentRequests": { "type": "object", - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "requests": { + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "type": "array", + "description": "Required. The requests to be processed in the batch." } - } + }, + "description": "The requests to be processed in the batch if provided as part of the batch creation request." }, - "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`.", + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", "properties": { - "candidates": { - "type": "array", - "description": "Candidate responses from the model.", - "items": { - "$ref": "#/components/schemas/Candidate" - } - }, - "modelStatus": { - "description": "Output only. The current model status of this model.", - "$ref": "#/components/schemas/ModelStatus", + "embedding": { + "$ref": "#/components/schemas/ContentEmbedding", + "description": "Output only. The embedding generated from the input content.", "readOnly": true }, "usageMetadata": { - "readOnly": true, - "description": "Output only. Metadata on the generation requests' token usage.", - "$ref": "#/components/schemas/UsageMetadata" - }, - "modelVersion": { - "readOnly": true, - "description": "Output only. The model version used to generate the response.", - "type": "string" - }, - "responseId": { - "readOnly": true, - "description": "Output only. response_id is used to identify each response.", - "type": "string" - }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "description": "Output only. The usage metadata for the request.", + "readOnly": true } }, "type": "object" }, - "InlinedResponse": { - "type": "object", - "description": "The response to a single request in the batch.", + "Part": { "properties": { - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", - "readOnly": true + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" }, - "metadata": { - "description": "Output only. The metadata associated with the request.", - "type": "object", - "readOnly": true, - "additionalProperties": { + "mediaResolution": { + "$ref": "#/components/schemas/MediaResolution", + "description": "Optional. Media resolution for the input media." + }, + "toolResponse": { + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", + "$ref": "#/components/schemas/ToolResponse" + }, + "functionResponse": { + "$ref": "#/components/schemas/FunctionResponse", + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model." + }, + "text": { + "description": "Inline text.", + "type": "string" + }, + "codeExecutionResult": { + "$ref": "#/components/schemas/CodeExecutionResult", + "description": "Result of executing the `ExecutableCode`." + }, + "executableCode": { + "$ref": "#/components/schemas/ExecutableCode", + "description": "Code generated by the model that is meant to be executed." + }, + "partMetadata": { + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", + "additionalProperties": { "description": "Properties of the object." - } + }, + "type": "object" }, - "response": { - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse", - "readOnly": true + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" + }, + "toolCall": { + "$ref": "#/components/schemas/ToolCall", + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API." + }, + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" + }, + "inlineData": { + "$ref": "#/components/schemas/Blob", + "description": "Inline media bytes." + }, + "thoughtSignature": { + "type": "string", + "format": "byte", + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests." } - } - }, - "UrlContext": { - "description": "Tool to support URL context retrieval.", - "properties": {}, - "type": "object" + }, + "type": "object", + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." }, - "LogprobsResult": { - "description": "Logprobs Result", + "ListModelsResponse": { "properties": { - "topCandidates": { - "type": "array", - "description": "Length = total number of decoding steps.", + "models": { "items": { - "$ref": "#/components/schemas/TopCandidates" - } + "$ref": "#/components/schemas/Model" + }, + "type": "array", + "description": "The returned Models." }, - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + } + }, + "type": "object", + "description": "Response from `ListModel` containing a paginated list of Models." + }, + "ListDocumentsResponse": { + "type": "object", + "properties": { + "documents": { + "description": "The returned `Document`s.", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/Document" }, "type": "array" }, - "logProbabilitySum": { - "format": "float", - "type": "number", - "description": "Sum of log probabilities for all tokens." + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } }, - "type": "object" + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`." }, "RetrievalConfig": { - "type": "object", - "description": "Retrieval config.", "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" - }, "languageCode": { "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", "type": "string" + }, + "latLng": { + "$ref": "#/components/schemas/LatLng", + "description": "Optional. The location of the user." } - } - }, - "SemanticRetrieverChunk": { + }, "type": "object", - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "description": "Retrieval config." + }, + "BatchGenerateContentRequest": { "properties": { - "source": { - "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 - }, - "chunk": { - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "type": "string", - "readOnly": true + "batch": { + "$ref": "#/components/schemas/GenerateContentBatch", + "description": "Required. The batch to create." } - } + }, + "type": "object", + "description": "Request for a `BatchGenerateContent` operation." }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "ListCorporaResponse": { "properties": { - "responsesFile": { - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "type": "string" + "corpora": { + "items": { + "$ref": "#/components/schemas/Corpus" + }, + "type": "array", + "description": "The returned corpora." }, - "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.", - "$ref": "#/components/schemas/InlinedResponses", - "readOnly": true + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } }, - "type": "object" + "type": "object", + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`." }, - "Maps": { - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "SearchTypes": { + "type": "object", "properties": { - "title": { - "description": "Title of the place.", - "type": "string" - }, - "uri": { - "description": "URI reference of the place.", - "type": "string" - }, - "placeId": { - "type": "string", - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place." - }, - "text": { - "description": "Text description of the place answer.", - "type": "string" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" + "imageSearch": { + "$ref": "#/components/schemas/ImageSearch", + "description": "Optional. Enables image search. Image bytes are returned." } }, - "type": "object" + "description": "Different types of search that can be enabled on the GoogleSearch tool." }, - "InlinedRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "ListFileSearchStoresResponse": { + "type": "object", "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", + "fileSearchStores": { "items": { - "$ref": "#/components/schemas/InlinedRequest" + "$ref": "#/components/schemas/FileSearchStore" }, - "type": "array" + "type": "array", + "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" } }, - "type": "object" + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." }, - "RegisterFilesResponse": { - "description": "Response for `RegisterFiles`.", + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "type": "object", "properties": { - "files": { - "type": "array", - "description": "The registered files to be used when calling GenerateContent.", - "items": { - "$ref": "#/components/schemas/File" - } + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", + "type": "string" + }, + "data": { + "type": "string", + "format": "byte", + "description": "Raw bytes for media formats." } - }, - "type": "object" + } }, - "LatLng": { - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", + "PlaceAnswerSources": { "properties": { - "latitude": { - "type": "number", - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "format": "double" - }, - "longitude": { - "format": "double", - "type": "number", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." + "reviewSnippets": { + "type": "array", + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + }, + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps." } }, - "type": "object" + "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." }, - "VideoMetadata": { - "deprecated": true, + "StreamableHttpTransport": { "type": "object", - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", "properties": { - "startOffset": { - "format": "google-duration", - "type": "string", - "description": "Optional. The start offset of the video." + "headers": { + "additionalProperties": { + "type": "string" + }, + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object" }, - "endOffset": { - "description": "Optional. The end offset of the video.", + "timeout": { + "description": "HTTP timeout for regular operations.", "type": "string", "format": "google-duration" }, - "fps": { - "format": "double", - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "type": "number" + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" + }, + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" + }, + "sseReadTimeout": { + "type": "string", + "format": "google-duration", + "description": "Timeout for SSE read operations." + } + }, + "description": "A transport that can stream HTTP requests and responses. Next ID: 6" + }, + "ChunkingConfig": { + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "type": "object", + "properties": { + "whiteSpaceConfig": { + "$ref": "#/components/schemas/WhiteSpaceConfig", + "description": "White space chunking configuration." } } }, - "GroundingMetadata": { + "BatchEmbedContentsResponse": { "type": "object", - "description": "Metadata returned to client when grounding is enabled.", "properties": { - "groundingSupports": { - "type": "array", - "description": "List of grounding support.", + "embeddings": { + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "readOnly": true, "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - } - }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" + "$ref": "#/components/schemas/ContentEmbedding" + }, + "type": "array" }, - "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" - }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" - }, - "imageSearchQueries": { - "description": "Image search queries used for grounding.", - "items": { - "type": "string" - }, - "type": "array" - }, - "groundingChunks": { - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "items": { - "$ref": "#/components/schemas/GroundingChunk" - }, - "type": "array" - }, - "webSearchQueries": { - "description": "Web search queries for the following-up web search.", - "items": { - "type": "string" - }, - "type": "array" + "usageMetadata": { + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "description": "Output only. The usage metadata for the request.", + "readOnly": true } - } + }, + "description": "The response to a `BatchEmbedContentsRequest`." }, - "FileSearchStore": { - "type": "object", - "description": "A `FileSearchStore` is a collection of `Document`s.", + "TuningTask": { "properties": { - "updateTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "type": "string", - "format": "google-datetime", - "readOnly": true - }, - "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." - }, - "activeDocumentsCount": { + "startTime": { + "description": "Output only. The timestamp when tuning this model started.", "readOnly": true, - "format": "int64", - "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval." - }, - "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." - }, - "displayName": { "type": "string", - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" + "format": "google-datetime" }, - "sizeBytes": { - "type": "string", - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "snapshots": { + "description": "Output only. Metrics collected during tuning.", + "type": "array", "readOnly": true, - "format": "int64" + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + } }, - "pendingDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "completeTime": { "type": "string", - "format": "int64", - "readOnly": true - }, - "createTime": { "format": "google-datetime", "readOnly": true, - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "type": "string" + "description": "Output only. The timestamp when tuning this model completed." }, - "failedDocumentsCount": { - "type": "string", - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", - "readOnly": true, - "format": "int64" + "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" } - } + }, + "type": "object", + "description": "Tuning tasks that create tuned models." }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", "properties": { - "serviceTier": { - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], - "type": "string", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "readOnly": true, - "description": "Output only. Service tier of the request." - }, - "thoughtsTokenCount": { - "type": "integer", - "description": "Output only. Number of tokens of thoughts for thinking models.", - "readOnly": true, - "format": "int32" - }, - "toolUsePromptTokensDetails": { - "type": "array", - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true - }, - "toolUsePromptTokenCount": { - "format": "int32", - "readOnly": true, - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "type": "integer" - }, - "promptTokenCount": { - "type": "integer", - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "format": "int32" - }, - "cachedContentTokenCount": { - "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "type": "integer" - }, - "candidatesTokenCount": { - "format": "int32", - "type": "integer", - "description": "Total number of tokens across all the generated response candidates." - }, - "candidatesTokensDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were returned in the response.", + "cachedContents": { + "description": "List of cached contents.", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/CachedContent" }, "type": "array" }, - "promptTokensDetails": { - "readOnly": true, - "type": "array", - "description": "Output only. List of modalities that were processed in the request input.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "cacheTokensDetails": { - "readOnly": true, - "type": "array", - "description": "Output only. List of modalities of the cached content in the request input.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "totalTokenCount": { - "description": "Total token count for the generation request (prompt + thoughts + response candidates).", - "type": "integer", - "format": "int32" - }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true - }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "type": "string" } }, "type": "object" }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "FunctionDeclaration": { + "type": "object", "properties": { - "outcome": { - "type": "string", - "description": "Required. Outcome of the code execution.", - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], - "x-enum-descriptions": [ - "Unspecified status. This value should not be used.", - "Code execution completed successfully. `output` contains the stdout, if any.", - "Code execution failed. `output` contains the stderr and stdout, if any.", - "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." - ] - }, - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "description": { + "description": "Required. A brief description of the function.", "type": "string" }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", - "type": "string" - } - }, - "type": "object" - }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", - "properties": { - "state": { - "description": "Output only. The state of the GeneratedFile.", + "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`." + }, + "response": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function." + }, + "behavior": { "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." + "This value is unused.", + "If set, the system will wait to receive the function response before continuing the conversation.", + "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." ], - "readOnly": true, "type": "string", + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" ] }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "parameters": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter." }, "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "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" }, - "mimeType": { - "description": "MIME type of the generatedFile.", - "type": "string" + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." } }, - "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." }, - "ModalityTokenCount": { + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", "type": "object", - "description": "Represents token counting info for a single modality.", "properties": { - "modality": { + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "type": "string" + }, + "toolType": { + "description": "Required. The type of tool that was called.", "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], - "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" ], - "type": "string", - "description": "The modality associated with this token count." + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "type": "string" }, - "tokenCount": { - "format": "int32", - "description": "Number of tokens.", - "type": "integer" + "args": { + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "additionalProperties": { + "description": "Properties of the object." + }, + "type": "object" } } }, - "RetrievedContext": { + "Status": { "type": "object", - "description": "Chunk from context retrieved by the file search tool.", "properties": { - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", - "type": "string" - }, - "title": { - "type": "string", - "description": "Optional. Title of the document." + "code": { + "description": "The status code, which should be an enum value of google.rpc.Code.", + "type": "integer", + "format": "int32" }, - "pageNumber": { - "format": "int32", - "description": "Optional. Page number of the retrieved context, if applicable.", - "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" }, - "customMetadata": { - "description": "Optional. User-provided metadata about the retrieved context.", + "details": { + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object" + }, + "type": "array" + } + }, + "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)." + }, + "UrlContext": { + "type": "object", + "properties": {}, + "description": "Tool to support URL context retrieval." + }, + "ListPermissionsResponse": { + "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "type": "object", + "properties": { + "permissions": { + "description": "Returned permissions.", + "items": { + "$ref": "#/components/schemas/Permission" }, "type": "array" }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", - "type": "string" - }, - "text": { - "description": "Optional. Text of the chunk.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" + } + } + }, + "SpeakerVoiceConfig": { + "description": "The configuration for a single speaker in a multi speaker setup.", + "properties": { + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "Required. The configuration for the voice to use." }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", "type": "string" } - } + }, + "type": "object" }, - "BatchEmbedContentsResponse": { - "description": "The response to a `BatchEmbedContentsRequest`.", + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "properties": { - "usageMetadata": { + "role": { + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ], + "type": "string", + "description": "Required. The role granted by this permission.", + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ] + }, + "name": { + "type": "string", "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only." }, - "embeddings": { - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "items": { - "$ref": "#/components/schemas/ContentEmbedding" - }, - "type": "array", - "readOnly": true + "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" + ] + }, + "emailAddress": { + "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", + "type": "string" } }, "type": "object" }, - "WebSearch": { - "type": "object", - "description": "Standard web search for grounding and related configurations.", - "properties": {} - }, - "FileSearch": { + "BatchEmbedContentsRequest": { "type": "object", - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "properties": { - "fileSearchStoreNames": { + "requests": { "type": "array", - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", "items": { - "type": "string" - } - }, - "topK": { - "format": "int32", - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer" - }, - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" + "$ref": "#/components/schemas/EmbedContentRequest" + }, + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`." } - } + }, + "description": "Batch request to get embeddings from the model for a list of prompts." }, "Document": { - "type": "object", "description": "A `Document` is a collection of `Chunk`s.", "properties": { - "name": { - "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", - "type": "string" - }, - "createTime": { - "type": "string", - "description": "Output only. The Timestamp of when the `Document` was created.", + "mimeType": { "readOnly": true, - "format": "google-datetime" + "type": "string", + "description": "Output only. The mime type of the Document." + }, + "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" }, "state": { - "description": "Output only. Current state of the `Document`.", + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], "x-enum-descriptions": [ "The default value. This value is used if the state is omitted.", "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", "All `Chunks` of the `Document` is processed and available for querying.", "Some `Chunks` of the `Document` failed processing." ], + "description": "Output only. Current state of the `Document`.", "readOnly": true, - "type": "string", - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ] - }, - "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" }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the Document.", - "type": "string", - "format": "int64", - "readOnly": true - }, - "mimeType": { - "description": "Output only. The mime type of the Document.", - "type": "string", - "readOnly": true - }, "customMetadata": { - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", + "type": "array", "items": { "$ref": "#/components/schemas/CustomMetadata" }, - "type": "array" + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`." + }, + "name": { + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", + "type": "string" }, "updateTime": { - "type": "string", "description": "Output only. The Timestamp of when the `Document` was last updated.", + "type": "string", + "format": "google-datetime", + "readOnly": true + }, + "sizeBytes": { "readOnly": true, - "format": "google-datetime" + "type": "string", + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the Document." + }, + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was created." } - } + }, + "type": "object" }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", + "type": "object", "properties": { - "candidates": { - "description": "Sorted by log probability in descending order.", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "type": "array" + "dynamicRetrievalConfig": { + "$ref": "#/components/schemas/DynamicRetrievalConfig", + "description": "Specifies the dynamic retrieval configuration for the given source." } - }, - "type": "object" + } }, - "Model": { + "GroundingPassageId": { "type": "object", - "description": "Information about a Generative Language Model.", "properties": { - "version": { + "passageId": { + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", "type": "string", - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)" - }, - "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" + "readOnly": true }, - "inputTokenLimit": { + "partIndex": { + "type": "integer", "format": "int32", - "description": "Maximum number of input tokens allowed for this model.", - "type": "integer" - }, - "temperature": { - "format": "float", - "type": "number", - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model." - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" - }, - "description": { - "type": "string", - "description": "A short description of the model." - }, - "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" - }, - "supportedGenerationMethods": { - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", - "items": { - "type": "string" - }, - "type": "array" - }, - "topP": { - "type": "number", - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "format": "float" - }, - "name": { - "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`", - "type": "string" - }, - "baseModelId": { - "type": "string", - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`" - }, - "maxTemperature": { - "type": "number", - "description": "The maximum temperature this model can use.", - "format": "float" - }, - "outputTokenLimit": { - "description": "Maximum number of output tokens available for this model.", - "type": "integer", - "format": "int32" - } - } - }, - "PromptFeedback": { - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", - "properties": { - "blockReason": { - "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ], - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." - ], - "type": "string", - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt." - }, - "safetyRatings": { - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "type": "array" + "readOnly": true, + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`." } }, - "type": "object" + "description": "Identifier for a part within a `GroundingPassage`." }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "ListFilesResponse": { "properties": { - "fileName": { - "type": "string", - "description": "Required. The name of the `File` to import. Example: `files/abc-123`" + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "type": "string" }, - "customMetadata": { - "description": "Custom metadata to be associated with the file.", + "files": { + "description": "The list of `File`s.", + "type": "array", "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "type": "array" - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "$ref": "#/components/schemas/File" + } } }, - "type": "object" + "type": "object", + "description": "Response for `ListFiles`." }, - "SpeechConfig": { + "TopCandidates": { "type": "object", - "description": "Config for speech generation and transcription.", "properties": { - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" - }, - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" - }, - "languageCode": { - "type": "string", - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`." + "candidates": { + "description": "Sorted by log probability in descending order.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } } - } + }, + "description": "Candidates with top log probabilities at each decoding step." }, "ThinkingConfig": { - "type": "object", "description": "Config for thinking features.", + "type": "object", "properties": { "thinkingBudget": { "description": "The number of thoughts tokens that the model should generate.", "type": "integer", "format": "int32" }, + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" + }, "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", @@ -3874,1400 +3752,1325 @@ "LOW", "MEDIUM", "HIGH" - ], - "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." ] - }, - "includeThoughts": { - "type": "boolean", - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available." } } }, - "LogprobsResultCandidate": { - "description": "Candidate for the logprobs token and score.", + "FunctionResponse": { "properties": { - "logProbability": { - "type": "number", - "description": "The candidate's log probability.", - "format": "float" - }, - "token": { + "scheduling": { "type": "string", - "description": "The candidate\u2019s token string value." + "x-enum-descriptions": [ + "This value is unused.", + "Only add the result to the conversation context, do not interrupt or trigger generation.", + "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", + "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + ], + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", + "enum": [ + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ] }, - "tokenId": { - "format": "int32", - "description": "The candidate\u2019s token id value.", - "type": "integer" + "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." + }, + "willContinue": { + "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", + "type": "boolean" + }, + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "type": "string" + }, + "parts": { + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "type": "array", + "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" } }, - "type": "object" + "type": "object", + "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction." }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", + "UrlContextMetadata": { "properties": { - "promptTokenCount": { - "description": "Output only. Number of tokens in the prompt.", - "type": "integer", - "format": "int32", - "readOnly": true - }, - "promptTokenDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", + "urlMetadata": { + "description": "List of url context.", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/UrlMetadata" }, "type": "array" } }, - "type": "object" + "type": "object", + "description": "Metadata related to url context retrieval tool." }, - "CustomMetadata": { + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", "type": "object", - "description": "User provided metadata stored as key-value pairs.", "properties": { - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "items": { + "$ref": "#/components/schemas/SpeakerVoiceConfig" + }, + "type": "array" + } + } + }, + "CountTokensResponse": { + "type": "object", + "properties": { + "cacheTokensDetails": { + "description": "Output only. List of modalities that were processed in the cached content.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "promptTokensDetails": { + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "type": "array", + "description": "Output only. List of modalities that were processed in the request input." }, - "numericValue": { - "description": "The numeric value of the metadata to store.", - "type": "number", - "format": "float" + "totalTokens": { + "type": "integer", + "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." }, - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" + "cachedContentTokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content)." } - } + }, + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`." }, "ReviewSnippet": { "type": "object", - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", "properties": { "googleMapsUri": { "description": "A link that corresponds to the user review on Google Maps.", "type": "string" }, "reviewId": { - "type": "string", - "description": "The ID of the review snippet." + "description": "The ID of the review snippet.", + "type": "string" }, "title": { "description": "Title of the review.", "type": "string" } - } + }, + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." }, - "Content": { - "type": "object", - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "InlinedEmbedContentResponse": { "properties": { - "parts": { - "type": "array", - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "items": { - "$ref": "#/components/schemas/Part" - } - }, - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", - "type": "string" - } - } - }, - "ToolResponse": { - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", - "properties": { - "toolType": { - "type": "string", - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ] - }, - "id": { - "type": "string", - "description": "Optional. The identifier of the tool call this response is for." + "error": { + "readOnly": true, + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status" }, "response": { + "$ref": "#/components/schemas/EmbedContentResponse", + "description": "Output only. The response to the request.", + "readOnly": true + }, + "metadata": { "additionalProperties": { "description": "Properties of the object." }, - "type": "object", - "description": "Optional. The tool response." + "description": "Output only. The metadata associated with the request.", + "readOnly": true, + "type": "object" } }, - "type": "object" + "type": "object", + "description": "The response to a single request in the batch." }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "Tool": { + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", "properties": { - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "functionDeclarations": { + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + }, + "type": "array", + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn." }, - "documentOcr": { - "type": "boolean", - "description": "Optional. Whether to enable OCR for document content." + "googleMaps": { + "$ref": "#/components/schemas/GoogleMaps", + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." }, - "outputDimensionality": { - "format": "int32", - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", - "type": "integer" + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" }, - "title": { - "description": "Optional. The title for the text.", - "type": "string" + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" }, - "taskType": { - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "description": "Optional. The task type of the embedding.", - "type": "string" + "computerUse": { + "$ref": "#/components/schemas/ComputerUse", + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations." }, - "audioTrackExtraction": { - "type": "boolean", - "description": "Optional. Whether to extract audio from video content." + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" + }, + "googleSearch": { + "$ref": "#/components/schemas/GoogleSearch", + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + }, + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "mcpServers": { + "items": { + "$ref": "#/components/schemas/McpServer" + }, + "type": "array", + "description": "Optional. MCP Servers to connect to." } }, "type": "object" }, - "Web": { + "ImageSearch": { + "description": "Image search for grounding and related configurations.", "type": "object", - "description": "Chunk from the web.", - "properties": { - "title": { - "readOnly": true, - "description": "Output only. Title of the chunk.", - "type": "string" - }, - "uri": { - "readOnly": true, - "type": "string", - "description": "Output only. URI reference of the chunk." - } - } + "properties": {} }, - "ComputerUse": { - "description": "Computer Use tool type.", + "ImportFileRequest": { + "type": "object", "properties": { - "environment": { - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ], - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ], - "description": "Required. The environment being operated.", + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", "type": "string" }, - "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.", + "customMetadata": { + "description": "Custom metadata to be associated with the file.", "items": { - "type": "string" + "$ref": "#/components/schemas/CustomMetadata" }, "type": "array" + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" } }, - "type": "object" + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`." }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" - }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "videoDuration": { + "type": "string", + "format": "google-duration", + "description": "Duration of the video." } }, "type": "object" }, - "Image": { - "description": "Chunk from image search.", + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "UrlMetadata": { "properties": { - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "retrievedUrl": { + "description": "Retrieved url by the tool.", "type": "string" }, - "imageUri": { - "type": "string", - "description": "The image asset URL." - }, - "sourceUri": { + "urlRetrievalStatus": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ], "type": "string", - "description": "The web page URI for attribution." - }, - "title": { - "description": "The title of the web page that the image is from.", - "type": "string" + "description": "Status of the url retrieval.", + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ] } }, - "type": "object" - }, - "FunctionCall": { "type": "object", - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "description": "Context of the a single url retrieval." + }, + "CustomLongRunningOperation": { "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`.", + "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" }, - "name": { - "type": "string", - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." + "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" }, - "args": { + "response": { "type": "object", - "description": "Optional. The function parameters and values in JSON object format.", "additionalProperties": { - "description": "Properties of the object." - } + "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`." + }, + "metadata": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object" + }, + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" } - } + }, + "type": "object" }, - "ToolConfig": { + "GroundingAttribution": { + "description": "Attribution for a source that contributed to an answer.", "type": "object", - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "properties": { - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" }, - "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." + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", + "$ref": "#/components/schemas/AttributionSourceId", + "readOnly": true } } }, - "ListCachedContentsResponse": { - "description": "Response with CachedContents list.", + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", "properties": { - "cachedContents": { - "description": "List of cached contents.", + "files": { + "type": "array", "items": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/File" }, - "type": "array" - }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." + "description": "The registered files to be used when calling GenerateContent." } }, "type": "object" }, - "BatchEmbedContentsRequest": { - "type": "object", - "description": "Batch request to get embeddings from the model for a list of prompts.", + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", "properties": { - "requests": { - "type": "array", - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - } + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" } - } + }, + "type": "object" }, - "GenerateContentRequest": { - "description": "Request to generate a completion from the model.", + "CustomMetadata": { + "type": "object", "properties": { - "safetySettings": { - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", - "items": { - "$ref": "#/components/schemas/SafetySetting" - }, - "type": "array" - }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" - }, - "tools": { - "type": "array", - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "items": { - "$ref": "#/components/schemas/Tool" - } - }, - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" + "numericValue": { + "type": "number", + "format": "float", + "description": "The numeric value of the metadata to store." }, - "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}`", + "stringValue": { + "description": "The string value of the metadata to store.", "type": "string" }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "contents": { - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "items": { - "$ref": "#/components/schemas/Content" - }, - "type": "array" - }, - "serviceTier": { - "type": "string", - "description": "Optional. The service tier of the request.", - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ], - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ] - }, - "store": { - "type": "boolean", - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." + "stringListValue": { + "$ref": "#/components/schemas/StringList", + "description": "The StringList value of the metadata to store." }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "key": { + "description": "Required. The key of the metadata to store.", "type": "string" } }, - "type": "object" + "description": "User provided metadata stored as key-value pairs." }, - "CreateFileRequest": { - "description": "Request for `CreateFile`.", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" - } - }, - "type": "object" + "CodeExecution": { + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "type": "object", + "properties": {} }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", + "type": "object", "properties": { - "permissions": { - "description": "Returned permissions.", - "items": { - "$ref": "#/components/schemas/Permission" - }, - "type": "array" + "embedContentConfig": { + "$ref": "#/components/schemas/EmbedContentConfig", + "description": "Optional. Configuration for the EmbedContent request." }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "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" - } - }, - "type": "object" - }, - "ImageConfig": { - "description": "Config for image generation features.", - "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": { - "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" - }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", - "properties": { - "baseModel": { + "taskType": { + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "deprecated": true, + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], "type": "string", - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", - "readOnly": 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`)." }, - "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" - } - }, - "type": "object" - }, - "ToolCall": { - "type": "object", - "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", - "properties": { - "id": { + "title": { "type": "string", - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." + "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 }, - "args": { - "type": "object", - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "additionalProperties": { - "description": "Properties of the object." - } + "outputDimensionality": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "deprecated": true, + "type": "integer", + "format": "int32" }, - "toolType": { - "type": "string", - "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" - ], - "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." - ] + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" } } }, - "WhiteSpaceConfig": { + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "type": "object", - "description": "Configuration for a white space chunking algorithm [white space delimited].", "properties": { - "maxOverlapTokens": { - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "type": "integer", - "format": "int32" + "responsesFile": { + "readOnly": true, + "type": "string", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." }, - "maxTokensPerChunk": { - "format": "int32", - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", - "type": "integer" + "inlinedResponses": { + "readOnly": true, + "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." } } }, - "EmbedContentBatchOutput": { - "type": "object", - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "SemanticRetrieverChunk": { "properties": { - "inlinedResponses": { + "chunk": { "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" + "type": "string", + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`" }, - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", "type": "string", "readOnly": true } - } + }, + "type": "object", + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`." }, - "Permission": { + "FileData": { "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", "properties": { - "name": { - "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.", - "readOnly": true + "fileUri": { + "description": "Required. URI.", + "type": "string" }, - "role": { - "description": "Required. The role granted by this permission.", - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ], - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ] - }, - "granteeType": { - "type": "string", - "description": "Optional. Immutable. The type of the grantee.", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], - "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." - ] - }, - "emailAddress": { - "type": "string", - "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE." + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" } - } + }, + "description": "URI based data." }, - "Interval": { - "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", + "StringList": { + "type": "object", "properties": { - "startTime": { - "type": "string", - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", - "format": "google-datetime" - }, - "endTime": { - "format": "google-datetime", - "type": "string", - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end." + "values": { + "description": "The string values of the metadata to store.", + "items": { + "type": "string" + }, + "type": "array" } }, - "type": "object" + "description": "User provided string values assigned to a single metadata key." }, - "FunctionDeclaration": { + "GenerateContentBatch": { "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": { - "name": { + "priority": { "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." + "format": "int64", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0." }, - "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" + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." + "batchStats": { + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/BatchStats", + "readOnly": true }, - "behavior": { - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/GenerateContentBatchOutput", + "readOnly": true + }, + "endTime": { + "type": "string", + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The time at which the batch processing completed." + }, + "state": { + "readOnly": true, "type": "string", + "description": "Output only. The state of the batch.", "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." ], "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" ] }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + "createTime": { + "description": "Output only. The time at which the batch was created.", + "readOnly": true, + "type": "string", + "format": "google-datetime" }, - "description": { + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated." + }, + "name": { "type": "string", - "description": "Required. A brief description of the function." + "readOnly": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." } - } - }, - "CodeExecution": { - "type": "object", - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "properties": {} - }, - "Empty": { - "type": "object", - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "properties": {} + }, + "description": "A resource representing a batch of `GenerateContent` requests." }, - "InlinedResponses": { + "Image": { + "description": "Chunk from image search.", "type": "object", - "description": "The responses to the requests in the batch.", - "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedResponse" - }, - "type": "array", - "readOnly": true - } - } - }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", "properties": { - "passageId": { - "readOnly": true, - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "imageUri": { + "description": "The image asset URL.", "type": "string" }, - "partIndex": { - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "type": "integer", - "format": "int32", - "readOnly": true + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" + }, + "title": { + "description": "The title of the web page that the image is from.", + "type": "string" + }, + "sourceUri": { + "description": "The web page URI for attribution.", + "type": "string" } - }, - "type": "object" + } }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "GeneratedFile": { + "type": "object", "properties": { - "url": { - "type": "string", - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" - }, - "headers": { - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "type": "object", - "additionalProperties": { - "type": "string" - } + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" }, - "timeout": { - "format": "google-duration", - "description": "HTTP timeout for regular operations.", + "mimeType": { + "description": "MIME type of the generatedFile.", "type": "string" }, - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", + "state": { + "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" + ], + "readOnly": true, "type": "string", - "format": "google-duration" + "description": "Output only. The state of the GeneratedFile." }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" + "error": { + "$ref": "#/components/schemas/Status", + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state." } }, - "type": "object" + "description": "A file generated on behalf of a user." }, - "InputConfig": { - "description": "Configures the input to the batch request.", + "SearchEntryPoint": { "properties": { - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "type": "string" }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" + "sdkBlob": { + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "type": "string", + "format": "byte" } }, - "type": "object" + "type": "object", + "description": "Google search entry point." }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", "properties": { - "metadata": { - "type": "object", - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - } + "tokenCount": { + "type": "integer", + "format": "int32", + "description": "Number of tokens." }, - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "modality": { + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ], + "type": "string", + "description": "The modality associated with this token count.", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ] } }, "type": "object" }, - "GoogleSearch": { - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "Hyperparameters": { + "type": "object", "properties": { - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" + "batchSize": { + "type": "integer", + "format": "int32", + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples." }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" + "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." + }, + "epochCount": { + "type": "integer", + "format": "int32", + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used." + }, + "learningRate": { + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", + "type": "number", + "format": "float" } }, - "type": "object" - }, - "MultiSpeakerVoiceConfig": { - "type": "object", - "description": "The configuration for the multi-speaker setup.", - "properties": { - "speakerVoiceConfigs": { - "type": "array", - "description": "Required. All the enabled speaker voices.", - "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - } - } - } - }, - "UrlContextMetadata": { - "type": "object", - "description": "Metadata related to url context retrieval tool.", - "properties": { - "urlMetadata": { - "type": "array", - "description": "List of url context.", - "items": { - "$ref": "#/components/schemas/UrlMetadata" - } - } - } + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance" }, - "ListCorporaResponse": { - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "serviceTier": { + "description": "Optional. The service tier of the request.", + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ], + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], "type": "string" }, - "corpora": { - "type": "array", - "description": "The returned corpora.", - "items": { - "$ref": "#/components/schemas/Corpus" - } - } - }, - "type": "object" - }, - "ContentEmbedding": { - "type": "object", - "description": "A list of floats representing an embedding.", - "properties": { - "values": { - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "items": { - "type": "number", - "format": "float" - }, - "type": "array" + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "shape": { - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "items": { - "format": "int32", - "type": "integer" - }, - "type": "array" - } - } - }, - "SearchEntryPoint": { - "type": "object", - "description": "Google search entry point.", - "properties": { - "renderedContent": { - "type": "string", - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview." + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" }, - "sdkBlob": { - "format": "byte", - "description": "Optional. Base64 encoded JSON representing array of tuple.", + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", "type": "string" - } - } - }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "description": "Grounding support.", - "properties": { - "renderedParts": { - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", + }, + "contents": { "items": { - "format": "int32", - "type": "integer" + "$ref": "#/components/schemas/Content" }, "type": "array", - "readOnly": true + "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." }, - "confidenceScores": { - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", + "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.", + "$ref": "#/components/schemas/ToolConfig" + }, + "safetySettings": { + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "type": "array", "items": { - "format": "float", - "type": "number" - }, - "type": "array" + "$ref": "#/components/schemas/SafetySetting" + } }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" }, - "groundingChunkIndices": { - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", - "items": { - "format": "int32", - "type": "integer" - }, - "type": "array" - } - }, - "type": "object" - }, - "InlinedEmbedContentRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, + "tools": { "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" + "$ref": "#/components/schemas/Tool" }, - "type": "array" + "type": "array", + "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more." } }, "type": "object" }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "File": { "properties": { - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" + "downloadUri": { + "description": "Output only. The download uri of the `File`.", + "readOnly": true, + "type": "string" }, - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" - } - }, - "type": "object" - }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", - "properties": {}, - "type": "object" - }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", - "properties": { - "voiceName": { + "source": { + "description": "Source of the File.", + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "x-enum-descriptions": [ + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ], + "type": "string" + }, + "sha256Hash": { "type": "string", - "description": "The name of the preset voice to use." - } - }, - "type": "object" - }, - "CustomLongRunningOperation": { - "properties": { - "done": { - "type": "boolean", - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + "format": "byte", + "readOnly": true, + "description": "Output only. SHA-256 hash of the uploaded bytes." }, - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", - "type": "string" + "mimeType": { + "readOnly": true, + "type": "string", + "description": "Output only. MIME type of the file." }, "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status", + "readOnly": true }, - "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." - } + "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" }, - "response": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object", - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." - } - }, - "type": "object" - }, - "CachedContent": { - "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", - "properties": { - "ttl": { - "description": "Input only. New TTL for this resource, input only.", + "uri": { + "readOnly": true, "type": "string", - "format": "google-duration" + "description": "Output only. The uri of the `File`." }, - "tools": { - "type": "array", - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "items": { - "$ref": "#/components/schemas/Tool" - } + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was last updated." }, "createTime": { "readOnly": true, - "format": "google-datetime", "type": "string", - "description": "Output only. Creation time of the cache entry." + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was created." }, - "model": { - "type": "string", - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`" - }, - "updateTime": { + "expirationTime": { "type": "string", - "description": "Output only. When the cache entry was last updated in UTC time.", + "format": "google-datetime", "readOnly": true, - "format": "google-datetime" + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire." }, - "name": { - "type": "string", - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "videoMetadata": { + "$ref": "#/components/schemas/VideoFileMetadata", + "description": "Output only. Metadata for a video.", "readOnly": true }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "contents": { - "type": "array", - "description": "Optional. Input only. Immutable. The content to cache.", - "items": { - "$ref": "#/components/schemas/Content" - } - }, - "expireTime": { - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "type": "string", - "format": "google-datetime" - }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" - }, "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", "type": "string" }, - "usageMetadata": { + "state": { "readOnly": true, - "description": "Output only. Metadata on the usage of the cached content.", - "$ref": "#/components/schemas/CachedContentUsageMetadata" + "type": "string", + "description": "Output only. Processing state of the File.", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." + ], + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ] + }, + "sizeBytes": { + "type": "string", + "format": "int64", + "readOnly": true, + "description": "Output only. Size of the file in bytes." } }, - "type": "object" + "type": "object", + "description": "A file uploaded to the API. Next ID: 15" }, - "Corpus": { + "LatLng": { "type": "object", - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" + "latitude": { + "type": "number", + "format": "double", + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0]." }, - "updateTime": { - "type": "string", - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "readOnly": true, - "format": "google-datetime" + "longitude": { + "type": "number", + "format": "double", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." + } + }, + "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." + }, + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "type": "object", + "properties": { + "timeRangeFilter": { + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", + "$ref": "#/components/schemas/Interval" }, - "name": { - "type": "string", - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", - "readOnly": true + "searchTypes": { + "$ref": "#/components/schemas/SearchTypes", + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." + } + } + }, + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "type": "object", + "properties": { + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "type": "string", - "format": "google-datetime", - "readOnly": true + "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" + }, + "functionCallingConfig": { + "$ref": "#/components/schemas/FunctionCallingConfig", + "description": "Optional. Function calling config." } } }, - "BatchStats": { + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", + "properties": { + "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." + }, + "maxOverlapTokens": { + "type": "integer", + "format": "int32", + "description": "Maximum number of overlapping tokens between two adjacent chunks." + } + }, + "type": "object" + }, + "EmbedContentBatchStats": { "description": "Stats about the batch.", + "type": "object", "properties": { - "failedRequestCount": { - "type": "string", - "description": "Output only. The number of requests that failed to be processed.", + "requestCount": { + "description": "Output only. The number of requests in the batch.", "readOnly": true, + "type": "string", "format": "int64" }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", "type": "string", "format": "int64", "readOnly": true }, "successfulRequestCount": { - "type": "string", "description": "Output only. The number of requests that were successfully processed.", "readOnly": true, + "type": "string", "format": "int64" }, "pendingRequestCount": { - "readOnly": true, - "format": "int64", "type": "string", + "format": "int64", + "readOnly": true, "description": "Output only. The number of requests that are still pending processing." } + } + }, + "SafetyRating": { + "type": "object", + "properties": { + "category": { + "type": "string", + "description": "Required. The category for this rating.", + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ] + }, + "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" + } }, - "type": "object" + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here." }, - "TuningExamples": { - "description": "A set of tuning examples. Can be training or validation data.", + "GoogleAiGenerativelanguageV1betaSegment": { + "properties": { + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" + }, + "startIndex": { + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "type": "integer", + "format": "int32" + }, + "endIndex": { + "type": "integer", + "format": "int32", + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero." + }, + "text": { + "description": "The text corresponding to the segment from the response.", + "type": "string" + } + }, + "type": "object", + "description": "Segment of the content." + }, + "Dataset": { "properties": { "examples": { - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", - "items": { - "$ref": "#/components/schemas/TuningExample" - }, - "type": "array" + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } }, - "type": "object" + "type": "object", + "description": "Dataset for training or validation." }, - "McpServer": { + "VoiceConfig": { + "description": "The configuration for the voice to use.", "type": "object", - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", "properties": { - "name": { - "type": "string", - "description": "The name of the MCPServer." - }, - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "prebuiltVoiceConfig": { + "$ref": "#/components/schemas/PrebuiltVoiceConfig", + "description": "The configuration for the prebuilt voice to use." } } }, - "InlinedEmbedContentRequest": { + "RetrievedContext": { "type": "object", - "description": "The request to be processed in the batch.", "properties": { - "metadata": { - "type": "object", - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - } + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" }, - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", - "properties": { - "values": { - "description": "The string values of the metadata to store.", - "items": { - "type": "string" - }, - "type": "array" - } - }, - "type": "object" - }, - "Tool": { - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", - "properties": { - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "type": "string" }, - "functionDeclarations": { - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", + "type": "array", "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - }, - "type": "array" - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + } }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" + "pageNumber": { + "type": "integer", + "format": "int32", + "description": "Optional. Page number of the retrieved context, if applicable." }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "type": "string" }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", + "type": "string" }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" + "title": { + "description": "Optional. Title of the document.", + "type": "string" + } + }, + "description": "Chunk from context retrieved by the file search tool." + }, + "VideoMetadata": { + "deprecated": true, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "properties": { + "endOffset": { + "description": "Optional. The end offset of the video.", + "type": "string", + "format": "google-duration" }, - "mcpServers": { - "description": "Optional. MCP Servers to connect to.", - "items": { - "$ref": "#/components/schemas/McpServer" - }, - "type": "array" + "startOffset": { + "type": "string", + "format": "google-duration", + "description": "Optional. The start offset of the video." }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" + "fps": { + "type": "number", + "format": "double", + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]." } }, "type": "object" }, - "DynamicRetrievalConfig": { + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "type": "object", - "description": "Describes the options to customize dynamic retrieval.", "properties": { - "dynamicThreshold": { - "format": "float", - "type": "number", - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used." + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was created." }, - "mode": { - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], - "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ], - "description": "The mode of the predictor to be used in dynamic retrieval.", + "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" + }, + "displayName": { + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", "type": "string" + }, + "updateTime": { + "type": "string", + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The Timestamp of when the `Corpus` was last updated." } } }, - "GroundingAttribution": { + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", "type": "object", - "description": "Attribution for a source that contributed to an answer.", "properties": { - "sourceId": { - "readOnly": true, - "description": "Output only. Identifier for the source contributing to this attribution.", - "$ref": "#/components/schemas/AttributionSourceId" + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "tokenId": { + "description": "The candidate\u2019s token id value.", + "type": "integer", + "format": "int32" + }, + "logProbability": { + "type": "number", + "format": "float", + "description": "The candidate's log probability." } } }, - "PlaceAnswerSources": { + "InputEmbedContentConfig": { "type": "object", - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "properties": { - "reviewSnippets": { - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", - "items": { - "$ref": "#/components/schemas/ReviewSnippet" - }, - "type": "array" + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" + }, + "requests": { + "$ref": "#/components/schemas/InlinedEmbedContentRequests", + "description": "The requests to be processed in the batch." } - } + }, + "description": "Configures the input to the batch request." }, - "AsyncBatchEmbedContentRequest": { - "type": "object", - "description": "Request for an `AsyncBatchEmbedContent` operation.", + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "googleSearchDynamicRetrievalScore": { + "type": "number", + "format": "float", + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." } - } + }, + "type": "object" }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", + "type": "object", "properties": { - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", - "type": "string" + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" }, - "customMetadata": { - "description": "Custom metadata to be associated with the data.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "type": "array" + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" }, - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" }, - "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" - } - }, - "type": "object" - }, - "ExecutableCode": { - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", - "properties": { - "id": { - "type": "string", - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." + "title": { + "description": "Optional. The title for the text.", + "type": "string" }, - "language": { - "type": "string", - "description": "Required. Programming language of the `code`.", + "taskType": { + "description": "Optional. The task type of the embedding.", "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" ], + "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." + "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." ] }, - "code": { - "type": "string", - "description": "Required. The code to be executed." + "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" } - }, - "type": "object" + } }, - "InlinedEmbedContentResponses": { - "description": "The responses to the requests in the batch.", + "TuningSnapshot": { + "type": "object", "properties": { - "inlinedResponses": { - "type": "array", - "description": "Output only. The responses to the requests in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "readOnly": true - } - }, - "type": "object" + "step": { + "description": "Output only. The tuning step.", + "readOnly": true, + "type": "integer", + "format": "int32" + }, + "epoch": { + "type": "integer", + "format": "int32", + "readOnly": true, + "description": "Output only. The epoch this step was part of." + }, + "computeTime": { + "type": "string", + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The timestamp when this metric was computed." + }, + "meanLoss": { + "type": "number", + "format": "float", + "readOnly": true, + "description": "Output only. The mean loss of the training examples for this step." + } + }, + "description": "Record for a single tuning step." }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + "enableWidget": { + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", + "type": "boolean" } }, "type": "object" }, - "ListFileSearchStoresResponse": { + "InlinedEmbedContentResponses": { "type": "object", - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", - "properties": { - "fileSearchStores": { - "description": "The returned rag_stores.", - "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "type": "array" - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - } - } - }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", "properties": { - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" - }, - "unreachable": { - "type": "array", - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", - "items": { - "type": "string" - } - }, - "operations": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", "type": "array", - "description": "A list of operations that matches the specified filter in the request.", + "readOnly": true, "items": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" } } }, - "type": "object" - }, - "SpeakerVoiceConfig": { - "type": "object", - "description": "The configuration for a single speaker in a multi speaker setup.", - "properties": { - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" - }, - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", - "type": "string" - } - } - }, - "VideoFileMetadata": { - "description": "Metadata for a video `File`.", - "properties": { - "videoDuration": { - "format": "google-duration", - "description": "Duration of the video.", - "type": "string" - } - }, - "type": "object" + "description": "The responses to the requests in the batch." }, "CitationSource": { "description": "A citation to a source for a portion of a specific response.", + "type": "object", "properties": { - "license": { - "type": "string", - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations." - }, "startIndex": { - "format": "int32", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", "type": "integer", - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes." + "format": "int32" }, "endIndex": { "description": "Optional. End of the attributed segment, exclusive.", @@ -5277,985 +5080,1250 @@ "uri": { "description": "Optional. URI that is attributed as a source for a portion of the text.", "type": "string" + }, + "license": { + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", + "type": "string" } - }, - "type": "object" + } }, - "Dataset": { - "description": "Dataset for training or validation.", + "ContentEmbedding": { + "type": "object", "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "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" + } + }, + "shape": { + "items": { + "type": "integer", + "format": "int32" + }, + "type": "array", + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048])." } }, - "type": "object" + "description": "A list of floats representing an embedding." }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "CountTokensRequest": { + "type": "object", "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)." + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "type": "array", + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." }, - "data": { - "format": "byte", - "description": "Raw bytes for media formats.", - "type": "string" + "generateContentRequest": { + "$ref": "#/components/schemas/GenerateContentRequest", + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both." } }, - "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`." }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "FileSearch": { + "type": "object", "properties": { - "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" - }, - "learningRateMultiplier": { - "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", - "type": "number", - "format": "float" - }, - "batchSize": { + "topK": { + "description": "Optional. The number of semantic retrieval chunks to retrieve.", "type": "integer", - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", "format": "int32" }, - "epochCount": { - "format": "int32", - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", - "type": "integer" + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" + }, + "fileSearchStoreNames": { + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "items": { + "type": "string" + }, + "type": "array" } }, - "type": "object" + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API." }, - "GenerateContentBatch": { + "Operation": { "type": "object", - "description": "A resource representing a batch of `GenerateContent` requests.", "properties": { - "createTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The time at which the batch was created.", - "type": "string" - }, - "state": { - "type": "string", - "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.", - "readOnly": true, - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ] - }, - "priority": { - "format": "int64", - "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." - }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/BatchStats", - "readOnly": true + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" }, "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." - }, - "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." - }, - "endTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The time at which the batch processing completed.", + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" }, - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput", - "readOnly": true + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object" }, - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "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`." }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" + "error": { + "$ref": "#/components/schemas/Status", + "description": "The error result of the operation in case of failure or cancellation." + } + }, + "description": "This resource represents a long-running operation that is the result of a network API call." + }, + "Interval": { + "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", + "type": "object", + "properties": { + "startTime": { + "type": "string", + "format": "google-datetime", + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start." }, - "updateTime": { + "endTime": { + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", "type": "string", - "description": "Output only. The time at which the batch was last updated.", - "readOnly": true, "format": "google-datetime" } } }, - "ListDocumentsResponse": { - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "ToolResponse": { + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", "properties": { - "documents": { - "type": "array", - "description": "The returned `Document`s.", - "items": { - "$ref": "#/components/schemas/Document" + "response": { + "type": "object", + "description": "Optional. The tool response.", + "additionalProperties": { + "description": "Properties of the object." } }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "id": { + "description": "Optional. The identifier of the tool call this response is for.", "type": "string" - } - }, - "type": "object" - }, - "RetrievalMetadata": { - "type": "object", - "description": "Metadata related to retrieval in the grounding flow.", - "properties": { - "googleSearchDynamicRetrievalScore": { - "format": "float", - "type": "number", - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." - } - } - }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", - "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" - } - }, - "type": "object" - }, - "TuningExample": { - "description": "A single example for tuning.", - "properties": { - "textInput": { - "type": "string", - "description": "Optional. Text model input." }, - "output": { + "toolType": { + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], "type": "string", - "description": "Required. The expected model output." + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ] } }, "type": "object" }, - "GroundingChunkCustomMetadata": { - "description": "User provided metadata about the GroundingFact.", + "Candidate": { "properties": { - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" - }, - "key": { - "type": "string", - "description": "The key of the metadata." + "tokenCount": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Token count for this candidate." }, - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" + "groundingMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata", + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls." }, - "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." - } - }, - "type": "object" - }, - "ListModelsResponse": { - "type": "object", - "description": "Response from `ListModel` containing a paginated list of Models.", - "properties": { - "models": { - "description": "The returned Models.", + "groundingAttributions": { + "type": "array", + "readOnly": true, "items": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/GroundingAttribution" }, - "type": "array" + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls." }, - "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." - } - } - }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", - "properties": { - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "$ref": "#/components/schemas/UrlContextMetadata", + "readOnly": true }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" + "safetyRatings": { + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "type": "array", + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category." }, - "outputDimensionality": { - "deprecated": true, - "format": "int32", + "citationMetadata": { + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "$ref": "#/components/schemas/CitationMetadata", + "readOnly": true + }, + "index": { "type": "integer", - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`)." + "format": "int32", + "readOnly": true, + "description": "Output only. Index of the candidate in the list of response candidates." }, - "taskType": { + "avgLogprobs": { + "type": "number", + "format": "double", + "readOnly": true, + "description": "Output only. Average log probability score of the candidate." + }, + "finishMessage": { + "type": "string", + "readOnly": true, + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set." + }, + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "$ref": "#/components/schemas/LogprobsResult", + "readOnly": true + }, + "finishReason": { "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.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response." ], - "description": "Optional. 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, "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE" ], - "type": "string" - }, - "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 + "readOnly": true, + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens." }, - "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": { + "readOnly": true, + "$ref": "#/components/schemas/Content", + "description": "Output only. Generated content returned from the model." } }, - "type": "object" + "type": "object", + "description": "A response candidate generated from the model." }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", + "Content": { "properties": { - "generatedFiles": { - "description": "The list of `GeneratedFile`s.", + "parts": { + "type": "array", "items": { - "$ref": "#/components/schemas/GeneratedFile" + "$ref": "#/components/schemas/Part" }, - "type": "array" + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." }, - "nextPageToken": { - "type": "string", - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "type": "string" } }, - "type": "object" + "type": "object", + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn." }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", + "type": "object", "properties": { - "values": { - "type": "array", - "description": "The string values of the list.", - "items": { - "type": "string" - } + "totalTokenCount": { + "type": "integer", + "format": "int32", + "description": "Total number of tokens that the cached content consumes." } - }, - "type": "object" + } }, - "TuningTask": { + "InlinedResponse": { + "description": "The response to a single request in the batch.", "type": "object", - "description": "Tuning tasks that create tuned models.", "properties": { - "startTime": { - "description": "Output only. The timestamp when tuning this model started.", - "type": "string", - "format": "google-datetime", + "response": { + "$ref": "#/components/schemas/GenerateContentResponse", + "description": "Output only. The response to the request.", "readOnly": true }, - "completeTime": { + "metadata": { + "type": "object", "readOnly": true, - "format": "google-datetime", - "type": "string", - "description": "Output only. The timestamp when tuning this model completed." + "description": "Output only. The metadata associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + } }, - "snapshots": { - "description": "Output only. Metrics collected during tuning.", - "items": { - "$ref": "#/components/schemas/TuningSnapshot" - }, - "type": "array", + "error": { + "$ref": "#/components/schemas/Status", + "description": "Output only. The error encountered while processing the request.", "readOnly": true - }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" - }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" } } }, - "TuningSnapshot": { - "description": "Record for a single tuning step.", + "Model": { "properties": { - "epoch": { - "readOnly": true, - "format": "int32", - "type": "integer", - "description": "Output only. The epoch this step was part of." - }, - "computeTime": { - "readOnly": true, - "format": "google-datetime", - "type": "string", - "description": "Output only. The timestamp when this metric was computed." + "supportedGenerationMethods": { + "items": { + "type": "string" + }, + "type": "array", + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." }, - "step": { - "description": "Output only. The tuning step.", - "type": "integer", - "format": "int32", - "readOnly": true + "name": { + "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`", + "type": "string" }, - "meanLoss": { - "type": "number", - "description": "Output only. The mean loss of the training examples for this step.", - "readOnly": true, - "format": "float" - } - }, - "type": "object" - }, - "TunedModel": { - "type": "object", - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", - "properties": { "description": { - "description": "Optional. A short description of this model.", + "description": "A short description of the model.", "type": "string" }, "topK": { + "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", "type": "integer", - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", "format": "int32" }, "temperature": { - "format": "float", - "description": "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" + "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" }, - "state": { - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], - "type": "string", - "readOnly": true, - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], - "description": "Output only. The state of the tuned model." + "outputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of output tokens available for this model." }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "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" }, - "updateTime": { - "description": "Output only. The timestamp when this model was updated.", - "type": "string", - "format": "google-datetime", - "readOnly": true + "inputTokenLimit": { + "type": "integer", + "format": "int32", + "description": "Maximum number of input tokens allowed for this model." }, "displayName": { - "type": "string", - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces." + "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" }, - "createTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp when this model was created.", + "maxTemperature": { + "type": "number", + "format": "float", + "description": "The maximum temperature this model can use." + }, + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", "type": "string" }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", "type": "string" }, - "name": { - "readOnly": true, + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" + } + }, + "type": "object", + "description": "Information about a Generative Language Model." + }, + "ComputerUse": { + "type": "object", + "properties": { + "environment": { "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`" - }, - "topP": { - "format": "float", - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", - "type": "number" - }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ], + "description": "Required. The environment being operated.", + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ] }, - "readerProjectNumbers": { - "type": "array", - "description": "Optional. List of project numbers that have read access to the tuned model.", + "excludedPredefinedFunctions": { "items": { - "format": "int64", "type": "string" - } + }, + "type": "array", + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions." } - } + }, + "description": "Computer Use tool type." }, - "SafetySetting": { + "ModelStatus": { "type": "object", - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "properties": { - "category": { - "description": "Required. The category for this setting.", + "modelStage": { + "description": "The stage of the underlying model.", + "type": "string", + "enum": [ + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], "enumDeprecated": [ false, + true, false, false, false, false, - false, - false, - false, - false, - false, - false, - true + true, + false ], "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "type": "string", - "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" + "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." ] }, - "threshold": { - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ], - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ], + "retirementTime": { "type": "string", - "description": "Required. Controls the probability threshold at which harm is blocked." + "format": "google-datetime", + "description": "The time at which the model will be retired." + }, + "message": { + "description": "A message explaining the model status.", + "type": "string" } - } + }, + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." }, - "FileData": { + "InputConfig": { + "description": "Configures the input to the batch request.", "type": "object", - "description": "URI based data.", "properties": { - "mimeType": { - "type": "string", - "description": "Optional. The IANA standard MIME type of the source data." + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" }, - "fileUri": { - "type": "string", - "description": "Required. URI." + "requests": { + "$ref": "#/components/schemas/InlinedRequests", + "description": "The requests to be processed in the batch." } } }, - "Blob": { - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "readOnly": true, "type": "string" }, - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" + "inlinedResponses": { + "readOnly": true, + "$ref": "#/components/schemas/InlinedResponses", + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." } }, "type": "object" }, - "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.", + "FunctionCallingConfig": { + "type": "object", "properties": { - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" - }, - "probability": { - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ], - "x-enum-descriptions": [ - "Probability is unspecified.", - "Content has a negligible chance of being unsafe.", - "Content has a low chance of being unsafe.", - "Content has a medium chance of being unsafe.", - "Content has a high chance of being unsafe." - ], + "mode": { "type": "string", - "description": "Required. The probability of harm for this content." - }, - "category": { "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "description": "Required. The category for this rating.", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." ], + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "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" - ], + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" + ] + }, + "allowedFunctionNames": { + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "items": { + "type": "string" + }, + "type": "array" + } + }, + "description": "Configuration for specifying function calling behavior." + }, + "GroundingChunkStringList": { + "properties": { + "values": { + "description": "The string values of the list.", + "items": { + "type": "string" + }, + "type": "array" + } + }, + "type": "object", + "description": "A list of string values." + }, + "FunctionResponsePart": { + "type": "object", + "properties": { + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" + } + }, + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." + }, + "ImageConfig": { + "description": "Config for image generation features.", + "properties": { + "aspectRatio": { + "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", + "type": "string" + }, + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", "type": "string" } }, "type": "object" }, - "EmbedContentBatch": { - "type": "object", - "description": "A resource representing a batch of `EmbedContent` requests.", + "AttributionSourceId": { "properties": { - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" + } + }, + "type": "object", + "description": "Identifier for the source contributing to this attribution." + }, + "EmbedContentBatch": { + "properties": { + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "updateTime": { + "state": { "type": "string", - "description": "Output only. The time at which the batch was last updated.", "readOnly": true, - "format": "google-datetime" + "description": "Output only. The state of the batch.", + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ] }, "output": { - "description": "Output only. The output of the batch request.", + "readOnly": true, "$ref": "#/components/schemas/EmbedContentBatchOutput", - "readOnly": true + "description": "Output only. The output of the batch request." }, "endTime": { - "type": "string", "description": "Output only. The time at which the batch processing completed.", - "readOnly": true, - "format": "google-datetime" - }, - "displayName": { "type": "string", - "description": "Required. The user-defined name of this batch." + "format": "google-datetime", + "readOnly": true }, "name": { "readOnly": true, "type": "string", "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." }, - "batchStats": { + "updateTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated." + }, + "createTime": { + "description": "Output only. The time at which the batch was created.", "readOnly": true, + "type": "string", + "format": "google-datetime" + }, + "batchStats": { + "$ref": "#/components/schemas/EmbedContentBatchStats", "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/EmbedContentBatchStats" + "readOnly": true + }, + "inputConfig": { + "$ref": "#/components/schemas/InputEmbedContentConfig", + "description": "Required. Input configuration of the instances on which batch processing are performed." }, "priority": { "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", "type": "string", "format": "int64" }, - "state": { - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "type": "string", - "readOnly": true, - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "description": "Output only. The state of the batch." - }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "type": "string", - "description": "Output only. The time at which the batch was created." + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" } - } - }, - "TransferOwnershipResponse": { - "type": "object", - "description": "Response from `TransferOwnership`.", - "properties": {} - }, - "GoogleMaps": { + }, "type": "object", - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", - "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": "A resource representing a batch of `EmbedContent` requests." }, - "File": { - "type": "object", - "description": "A file uploaded to the API. Next ID: 15", + "FileSearchStore": { "properties": { - "uri": { + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", "readOnly": true, "type": "string", - "description": "Output only. The uri of the `File`." - }, - "sizeBytes": { - "type": "string", - "description": "Output only. Size of the file in bytes.", - "readOnly": true, "format": "int64" }, - "name": { + "pendingDocumentsCount": { "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`" + "format": "int64", + "readOnly": true, + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed." }, - "downloadUri": { - "description": "Output only. The download uri of the `File`.", + "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" + }, + "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" + }, + "name": { + "readOnly": true, "type": "string", - "readOnly": true + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated." }, - "error": { - "description": "Output only. Error status if File processing failed.", - "$ref": "#/components/schemas/Status", - "readOnly": true + "updateTime": { + "type": "string", + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated." }, - "videoMetadata": { + "sizeBytes": { "readOnly": true, - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata" + "type": "string", + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`." }, - "source": { + "failedDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "readOnly": true, + "type": "string", + "format": "int64" + }, + "createTime": { + "type": "string", + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The Timestamp of when the `FileSearchStore` was created." + } + }, + "type": "object", + "description": "A `FileSearchStore` is a collection of `Document`s." + }, + "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": { + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" + }, + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" + }, + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" + }, + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" + } + } + }, + "UploadToFileSearchStoreRequest": { + "properties": { + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "type": "string" + }, + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" + }, + "customMetadata": { + "description": "Custom metadata to be associated with the data.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + } + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + } + }, + "type": "object", + "description": "Request for `UploadToFileSearchStore`." + }, + "LogprobsResult": { + "description": "Logprobs Result", + "properties": { + "topCandidates": { + "items": { + "$ref": "#/components/schemas/TopCandidates" + }, + "type": "array", + "description": "Length = total number of decoding steps." + }, + "chosenCandidates": { + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates." + }, + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "type": "number", + "format": "float" + } + }, + "type": "object" + }, + "TuningExamples": { + "properties": { + "examples": { + "items": { + "$ref": "#/components/schemas/TuningExample" + }, + "type": "array", + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type." + } + }, + "type": "object", + "description": "A set of tuning examples. Can be training or validation data." + }, + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", + "properties": { + "topK": { + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "integer", + "format": "int32" + }, + "maxOutputTokens": { + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", + "type": "integer", + "format": "int32" + }, + "temperature": { + "type": "number", + "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]." + }, + "logprobs": { + "type": "integer", + "format": "int32", + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]." + }, + "mediaResolution": { + "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." + "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": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "description": "Source of the File.", + "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" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + }, + "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" + }, + "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" }, - "createTime": { + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" + }, + "topP": { + "type": "number", + "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." + }, + "frequencyPenalty": { + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "type": "number", + "format": "float" + }, + "responseModalities": { + "items": { + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ] + }, + "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." + }, + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" + }, + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" + }, + "candidateCount": { + "type": "integer", + "format": "int32", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)" + }, + "responseSchema": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details." + }, + "thinkingConfig": { + "$ref": "#/components/schemas/ThinkingConfig", + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking." + }, + "stopSequences": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response." + }, + "presencePenalty": { + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "type": "number", + "format": "float" + } + }, + "type": "object" + }, + "TuningExample": { + "description": "A single example for tuning.", + "type": "object", + "properties": { + "output": { + "description": "Required. The expected model output.", + "type": "string" + }, + "textInput": { + "description": "Optional. Text model input.", + "type": "string" + } + } + }, + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "type": "object", + "properties": { + "placeId": { + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", + "type": "string" + }, + "uri": { + "description": "URI reference of the place.", + "type": "string" + }, + "title": { + "description": "Title of the place.", + "type": "string" + }, + "text": { + "description": "Text description of the place answer.", + "type": "string" + }, + "placeAnswerSources": { + "$ref": "#/components/schemas/PlaceAnswerSources", + "description": "Sources that provide answers about the features of a given place in Google Maps." + } + } + }, + "McpServer": { + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "type": "object", + "properties": { + "streamableHttpTransport": { + "$ref": "#/components/schemas/StreamableHttpTransport", + "description": "A transport that can stream HTTP requests and responses." + }, + "name": { + "description": "The name of the MCPServer.", + "type": "string" + } + } + }, + "TunedModelSource": { + "type": "object", + "properties": { + "tunedModel": { + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "type": "string" + }, + "baseModel": { + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", "type": "string", - "description": "Output only. The timestamp of when the `File` was created.", - "readOnly": true, - "format": "google-datetime" + "readOnly": true + } + }, + "description": "Tuned model as a source for training a new model." + }, + "GroundingMetadata": { + "type": "object", + "properties": { + "groundingChunks": { + "items": { + "$ref": "#/components/schemas/GroundingChunk" + }, + "type": "array", + "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." }, - "updateTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp of when the `File` was last updated.", + "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" }, - "expirationTime": { - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "imageSearchQueries": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Image search queries used for grounding." + }, + "webSearchQueries": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Web search queries for the following-up web search." + }, + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "searchEntryPoint": { + "$ref": "#/components/schemas/SearchEntryPoint", + "description": "Optional. Google search entry for the following-up web searches." + }, + "groundingSupports": { + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "type": "array", + "description": "List of grounding support." + } + }, + "description": "Metadata returned to client when grounding is enabled." + }, + "BatchStats": { + "type": "object", + "properties": { + "requestCount": { "type": "string", - "format": "google-datetime", - "readOnly": true + "format": "int64", + "readOnly": true, + "description": "Output only. The number of requests in the batch." }, - "displayName": { + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, "type": "string", - "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"" + "format": "int64" }, - "mimeType": { - "description": "Output only. MIME type of the file.", + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", "type": "string", + "format": "int64", "readOnly": true }, - "state": { - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ], + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", "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, - "description": "Output only. Processing state of the File." - }, - "sha256Hash": { - "format": "byte", - "readOnly": true, - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "type": "string" + "format": "int64", + "readOnly": true } - } + }, + "description": "Stats about the batch." }, - "FunctionResponse": { + "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": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "properties": { - "id": { - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", - "type": "string" - }, "name": { - "type": "string", - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." - }, - "parts": { - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - }, - "type": "array" - }, - "willContinue": { - "type": "boolean", - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`." + "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" }, - "scheduling": { - "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ], - "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." - ], - "type": "string", - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE." + "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" }, - "response": { + "args": { + "type": "object", + "description": "Optional. The function parameters and values in JSON object format.", "additionalProperties": { "description": "Properties of the object." - }, - "type": "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." + } } } }, - "Schema": { + "InlinedEmbedContentRequest": { "type": "object", - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", "properties": { - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" - }, - "minimum": { - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" + "request": { + "$ref": "#/components/schemas/EmbedContentRequest", + "description": "Required. The request to be processed in the batch." }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "metadata": { + "type": "object", + "description": "Optional. The metadata to be associated with the request.", + "additionalProperties": { + "description": "Properties of the object." + } + } + }, + "description": "The request to be processed in the batch." + }, + "SafetySetting": { + "properties": { + "category": { + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "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." + ], + "description": "Required. The category for this setting.", "type": "string" }, - "maxItems": { - "format": "int64", + "threshold": { + "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" + ], "type": "string", - "description": "Optional. Maximum number of the elements for Type.ARRAY." - }, - "nullable": { - "type": "boolean", - "description": "Optional. Indicates if the value may be null." - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "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." + ] + } + }, + "type": "object", + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked." + }, + "PrebuiltVoiceConfig": { + "properties": { + "voiceName": { + "description": "The name of the preset voice to use.", "type": "string" - }, - "maximum": { - "type": "number", - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "format": "double" - }, - "enum": { + } + }, + "type": "object", + "description": "The configuration for the prebuilt speaker to use." + }, + "Schema": { + "type": "object", + "properties": { + "anyOf": { "type": "array", - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", "items": { - "type": "string" - } - }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list." }, - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" }, - "propertyOrdering": { - "type": "array", - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", - "items": { - "type": "string" - } + "maxProperties": { + "type": "string", + "format": "int64", + "description": "Optional. Maximum number of the properties for Type.OBJECT." }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "type": "string", + "format": "int64" }, "properties": { - "type": "object", "description": "Optional. Properties of Type.OBJECT.", "additionalProperties": { "$ref": "#/components/schemas/Schema" - } - }, - "required": { - "type": "array", - "description": "Optional. Required properties of Type.OBJECT.", - "items": { - "type": "string" - } - }, - "maxLength": { - "format": "int64", - "type": "string", - "description": "Optional. Maximum length of the Type.STRING" + }, + "type": "object" }, - "minProperties": { - "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "type": "string", - "format": "int64" + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." }, - "maxProperties": { - "format": "int64", - "type": "string", - "description": "Optional. Maximum number of the properties for Type.OBJECT." + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "type": "string" }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", - "items": { - "$ref": "#/components/schemas/Schema" - }, - "type": "array" + "title": { + "description": "Optional. The title of the schema.", + "type": "string" + }, + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" }, "type": { "description": "Required. Data type.", + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" + ], "type": "string", "x-enum-descriptions": [ "Not specified, should not be used.", @@ -6266,425 +6334,357 @@ "Array type.", "Object type.", "Null type." - ], - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" ] }, + "propertyOrdering": { + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "type": "array", + "items": { + "type": "string" + } + }, "minItems": { "description": "Optional. Minimum number of the elements for Type.ARRAY.", "type": "string", "format": "int64" }, - "minLength": { - "format": "int64", - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", "type": "string" - } - } - }, - "Part": { - "type": "object", - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", - "properties": { - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" - }, - "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": { + "minProperties": { "type": "string", - "description": "Inline text." - }, - "partMetadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "type": "object" - }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" - }, - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" + "format": "int64", + "description": "Optional. Minimum number of the properties for Type.OBJECT." }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." }, - "functionResponse": { - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", - "$ref": "#/components/schemas/FunctionResponse" + "maximum": { + "type": "number", + "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER" }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" + "enum": { + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "type": "array", + "items": { + "type": "string" + } }, - "thoughtSignature": { - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "maxLength": { + "description": "Optional. Maximum length of the Type.STRING", "type": "string", - "format": "byte" + "format": "int64" }, - "thought": { - "type": "boolean", - "description": "Optional. Indicates if the part is thought from the model." + "items": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Schema of the elements of Type.ARRAY." }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "minimum": { + "type": "number", + "format": "double", + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" - } - } - }, - "GoogleSearchRetrieval": { - "type": "object", - "description": "Tool to retrieve public web data for grounding, powered by Google.", - "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" - } - } - }, - "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", - "properties": { - "mode": { + "maxItems": { + "description": "Optional. Maximum number of the elements for Type.ARRAY.", "type": "string", - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ], - "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ] + "format": "int64" }, - "allowedFunctionNames": { - "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.", + "required": { "items": { "type": "string" - } + }, + "type": "array", + "description": "Optional. Required properties of Type.OBJECT." } }, - "type": "object" - }, - "TransferOwnershipRequest": { - "type": "object", - "description": "Request to transfer the ownership of the tuned model.", - "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" - } - } + "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)." }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "InlinedRequest": { "properties": { - "failedRequestCount": { - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests that failed to be processed.", - "type": "string" - }, - "requestCount": { - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests in the batch.", - "type": "string" - }, - "successfulRequestCount": { - "type": "string", - "description": "Output only. The number of requests that were successfully processed.", - "readOnly": true, - "format": "int64" + "metadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request." }, - "pendingRequestCount": { - "type": "string", - "description": "Output only. The number of requests that are still pending processing.", - "readOnly": true, - "format": "int64" + "request": { + "$ref": "#/components/schemas/GenerateContentRequest", + "description": "Required. The request to be processed in the batch." } }, - "type": "object" - }, - "UrlMetadata": { "type": "object", - "description": "Context of the a single url retrieval.", - "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" - }, - "urlRetrievalStatus": { - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ], - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ], - "type": "string", - "description": "Status of the url retrieval." - } - } + "description": "The request to be processed in the batch." }, - "CountTokensResponse": { - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "EmbeddingUsageMetadata": { + "type": "object", "properties": { - "totalTokens": { - "format": "int32", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "type": "integer" - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", + "promptTokenCount": { "type": "integer", - "format": "int32" + "format": "int32", + "readOnly": true, + "description": "Output only. Number of tokens in the prompt." }, - "promptTokensDetails": { - "type": "array", + "promptTokenDetails": { "description": "Output only. List of modalities that were processed in the request input.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true - }, - "cacheTokensDetails": { "readOnly": true, - "description": "Output only. List of modalities that were processed in the cached content.", "items": { "$ref": "#/components/schemas/ModalityTokenCount" }, "type": "array" } }, - "type": "object" + "description": "Metadata on the usage of the embedding request." }, "ListTunedModelsResponse": { - "type": "object", "description": "Response from `ListTunedModels` containing a paginated list of Models.", "properties": { + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + }, "tunedModels": { - "description": "The returned Models.", + "type": "array", "items": { "$ref": "#/components/schemas/TunedModel" }, - "type": "array" - }, + "description": "The returned Models." + } + }, + "type": "object" + }, + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", + "type": "object", + "properties": { "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "description": "The standard List next-page token.", "type": "string" + }, + "unreachable": { + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "items": { + "type": "string" + }, + "type": "array" + }, + "operations": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Operation" + }, + "description": "A list of operations that matches the specified filter in the request." } } }, - "InlinedEmbedContentResponse": { + "CreateFileResponse": { + "properties": { + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" + } + }, "type": "object", - "description": "The response to a single request in the batch.", + "description": "Response for `CreateFile`." + }, + "Web": { "properties": { - "error": { + "uri": { + "type": "string", "readOnly": true, - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status" + "description": "Output only. URI reference of the chunk." }, - "metadata": { - "type": "object", - "description": "Output only. The metadata associated with the request.", + "title": { "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - } + "type": "string", + "description": "Output only. Title of the chunk." + } + }, + "type": "object", + "description": "Chunk from the web." + }, + "CodeExecutionResult": { + "type": "object", + "properties": { + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" }, - "response": { - "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/EmbedContentResponse" + "outcome": { + "description": "Required. Outcome of the code execution.", + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ], + "type": "string", + "x-enum-descriptions": [ + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ] + }, + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" } - } + }, + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used." }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "CitationMetadata": { "properties": { - "uris": { + "citationSources": { + "description": "Citations to sources for a specific response.", "type": "array", - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "items": { - "type": "string" + "$ref": "#/components/schemas/CitationSource" } } }, - "type": "object" + "type": "object", + "description": "A collection of source attributions for a piece of content." }, - "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`.", + "TransferOwnershipResponse": { + "description": "Response from `TransferOwnership`.", + "type": "object", + "properties": {} + }, + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "contents": { - "type": "array", - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "requests": { "items": { - "$ref": "#/components/schemas/Content" - } - }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/InlinedRequest" + }, + "type": "array", + "description": "Required. The requests to be processed in the batch." } }, "type": "object" }, - "Candidate": { - "description": "A response candidate generated from the model.", + "Empty": { + "type": "object", + "properties": {}, + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }" + }, + "InlinedResponses": { + "type": "object", "properties": { - "tokenCount": { - "type": "integer", - "description": "Output only. Token count for this candidate.", + "inlinedResponses": { + "type": "array", "readOnly": true, - "format": "int32" + "items": { + "$ref": "#/components/schemas/InlinedResponse" + }, + "description": "Output only. The responses to the requests in the batch." + } + }, + "description": "The responses to the requests in the batch." + }, + "CachedContent": { + "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", + "type": "object", + "properties": { + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "type": "string" }, - "avgLogprobs": { + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata", + "readOnly": true + }, + "name": { + "type": "string", "readOnly": true, - "format": "double", - "type": "number", - "description": "Output only. Average log probability score of the candidate." + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`" }, - "finishReason": { + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", "readOnly": true, - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response." - ], - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE" - ], - "type": "string" + "type": "string", + "format": "google-datetime" }, - "index": { - "description": "Output only. Index of the candidate in the list of response candidates.", - "type": "integer", - "format": "int32", - "readOnly": true + "tools": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + }, + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response" }, - "content": { - "readOnly": true, - "description": "Output only. Generated content returned from the model.", + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", "$ref": "#/components/schemas/Content" }, - "finishMessage": { - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "createTime": { "type": "string", - "readOnly": true - }, - "citationMetadata": { + "format": "google-datetime", "readOnly": true, - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", - "$ref": "#/components/schemas/CitationMetadata" + "description": "Output only. Creation time of the cache entry." }, - "groundingAttributions": { - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "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" + }, + "ttl": { + "type": "string", + "format": "google-duration", + "description": "Input only. New TTL for this resource, input only." + }, + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", "items": { - "$ref": "#/components/schemas/GroundingAttribution" + "$ref": "#/components/schemas/Content" }, - "type": "array", - "readOnly": true + "type": "array" }, - "groundingMetadata": { - "readOnly": true, - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata" + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" + }, + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "type": "string" + } + } + }, + "PromptFeedback": { + "properties": { + "blockReason": { + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "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." + ], + "type": "string" }, "safetyRatings": { - "type": "array", - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", "items": { "$ref": "#/components/schemas/SafetyRating" - } - }, - "logprobsResult": { - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "$ref": "#/components/schemas/LogprobsResult", - "readOnly": true - }, - "urlContextMetadata": { - "readOnly": true, - "description": "Output only. Metadata related to url context retrieval tool.", - "$ref": "#/components/schemas/UrlContextMetadata" + }, + "type": "array", + "description": "Ratings for safety of the prompt. There is at most one rating per category." } }, - "type": "object" + "type": "object", + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`." } } }